Fire Fighting EngineerJobs
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<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>General Description of Role and Responsibilities:</p><p>• Develop and maintain projects schedules using project management software.</p><p>• Monitor projects progress and identify areas of concern or potential delays.</p><p>• Coordinate with project managers and other stakeholders to develop mitigation plans for identified risks.</p><p>• Provide regular updates on projects status to project teams and management.</p><p>• Review and analyze projects data to identify trends and improve project performance.</p><p>• Collaborate with construction & engineering teams to develop projects schedules and ensure alignment with</p><p>overall projects goals.</p><p>• Identify opportunities for process improvement and implement best practices.</p><p>• Manage schedule change requests and ensure that changes are properly documented and communicated.</p><p>• Participate in project meetings and provide input on scheduling and control matters.</p><p>• Support project managers in the development of project budgets and resource plans.</p><p>• Informs themselves of the relevant Quality, Environmental, Safety and Occupational Health Policies, Manuals</p><p>and Procedures in place within Hill International, and ensures continued compliance with these requirements</p><p>while employed by Hill.</p><p>• Perform other duties as assigned by the line manager/supervisor.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Qualifications, Experience, Knowledge and Skills:</p><p>• Bachelor / Master Degree in Accountant or Engineering from an accredited university.</p><p>• Minimum 15 years’ experience in related field on national / international major initiatives and developments.</p><p>• Extensive knowledge and experience in project Scheduling control.</p><p>• Extensive experience in managing and prioritizing projects schedules.</p><p>• Ability to present scheduals plans and requirements to senior management and other government authorities.</p><p>• Ability to negotiate with multiple stakeholders to secure schedule for projects.</p><p>• Capable to fluently communicate in Arabic and English.</p><p>• Excellent Verbal and written communication skills.</p></div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>General Description of Role and Responsibilities:</p><p>• Develop and maintain projects schedules using project management software.</p><p>• Monitor projects progress and identify areas of concern or potential delays.</p><p>• Coordinate with project managers and other stakeholders to develop mitigation plans for identified risks.</p><p>• Provide regular updates on projects status to project teams and management.</p><p>• Review and analyze projects data to identify trends and improve project performance.</p><p>• Collaborate with construction & engineering teams to develop projects schedules and ensure alignment with</p><p>overall projects goals.</p><p>• Identify opportunities for process improvement and implement best practices.</p><p>• Manage schedule change requests and ensure that changes are properly documented and communicated.</p><p>• Participate in project meetings and provide input on scheduling and control matters.</p><p>• Support project managers in the development of project budgets and resource plans.</p><p>• Informs themselves of the relevant Quality, Environmental, Safety and Occupational Health Policies, Manuals</p><p>and Procedures in place within Hill International, and ensures continued compliance with these requirements</p><p>while employed by Hill.</p><p>• Perform other duties as assigned by the line manager/supervisor.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Qualifications, Experience, Knowledge and Skills:</p><p>• Bachelor / Master Degree in Accountant or Engineering from an accredited university.</p><p>• Minimum 15 years’ experience in related field on national / international major initiatives and developments.</p><p>• Extensive knowledge and experience in project Scheduling control.</p><p>• Extensive experience in managing and prioritizing projects schedules.</p><p>• Ability to present scheduals plans and requirements to senior management and other government authorities.</p><p>• Ability to negotiate with multiple stakeholders to secure schedule for projects.</p><p>• Capable to fluently communicate in Arabic and English.</p><p>• Excellent Verbal and written communication skills.</p></div>
Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)<br><br>Additional Requirements<br><br>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)<br><br>Additional Requirements<br><br>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Company Description QSS AI & ROBOTICS is a specialized technology provider focused on Artificial Intelligence, Robotics, and Emerging Technologies. The company delivers complete support solutions, from early planning through project closure, ensuring reliable implementation and long-term success for customers. Its professional services team helps organizations optimize technology investments, reduce business risks, and maximize return on investment. Working closely with leading global technology partners, QSS enables clients to offer value-added services that strengthen and extend customer relationships. QSS has built strong trust and satisfaction among its partners and customers over the years.<br>Job Summary We are looking for a Junior Computer Vision Engineer to support the complete development lifecycle of AI computer vision models. The candidate will be responsible for collecting, organizing, cleaning, and annotating image and video datasets, as well as training, testing, and evaluating computer vision models. This is an entry-level position suitable for diploma holders and fresh graduates who are interested in building practical experience in artificial intelligence and computer vision. Previous professional experience is not required.<br>Responsibilities Collect and organize image and video datasets based on project and model requirements. Review, clean, filter, and prepare datasets before annotation and model training. Annotate images and videos using suitable data annotation tools. Review annotations and ensure that labels are accurate, consistent, and complete. Prepare training, validation, and testing datasets. Train computer vision models for object detection, image classification, segmentation, and other related use cases. Test and evaluate model performance. Identify dataset, annotation, and model performance issues. Improve model performance by updating datasets, correcting annotations, and adjusting training configurations. Document datasets, annotation guidelines, training experiments, model versions, and testing results. Prepare trained models and related files for integration and deployment. Support model testing using real images, videos, camera streams, and project scenarios. Work closely with AI engineers, software developers, and project teams.<br>Requirements Diploma in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Basic knowledge of Python programming. Basic understanding of artificial intelligence, machine learning, and computer vision concepts. Understanding of image and video datasets and how they are used for model training. Ability to learn and use data annotation and model training tools. Strong attention to detail when reviewing datasets and annotations. Good analytical, troubleshooting, and problem-solving skills. Ability to follow technical instructions and annotation guidelines. Ability to work independently and as part of a technical team. No previous professional experience is required.<br>Preferred Qualifications Familiarity with YOLO or similar object detection models. Basic knowledge of PyTorch or Tensor Flow. Familiarity with Open CV and image-processing concepts. Experience using annotation tools such as CVAT, Roboflow, Label Studio, or Label Img. Academic, personal, or graduation projects related to artificial intelligence, machine learning, or computer vision.<br>Candidate Profile The ideal candidate is a motivated and detail-oriented diploma holder or fresh graduate who is interested in developing a career in artificial intelligence and computer vision. The candidate should be willing to work across the complete model development process, including data collection, data cleaning, annotation, model training, testing, evaluation, and preparation for deployment. The candidate should be a fast learner, comfortable working with technical tools, and committed to producing accurate datasets and reliable computer vision models.
<p>As a frontend engineer, you’ll work at the intersection of powerful systems and real users, turning complex capabilities like AI-driven features, real-time data, and advanced services into intuitive, responsive, and polished user experiences.
Your day-to-day might range from building scalable UI architecture and refining design systems to integrating interactive elements such as chat interfaces, dashboards, and intelligent workflows, always with a strong focus on performance, usability, and clarity. If you enjoy translating complex ideas into simple, elegant, and production-ready interfaces while collaborating closely with designers and backend engineers, you’ll feel right at home here.
Responsibilities:
• Own frontend technical direction across major product areas.
• Define scalable architecture, standards, and quality frameworks.
• Lead ambiguous, high-impact initiatives from design to production.
• Drive decisions across performance, reliability, accessibility, and maintainability.
• Build shared foundations that improve engineering velocity.
• Set the bar through architecture reviews, testing strategy, and production readiness.
• Identify systemic risks and drive technical improvements.
• Ensure frontend systems support scale, resilience, and long-term growth.
• Recommended hands-on experience with at least one frontend framework (i.e. Next.js, Vue.js, etc.).
• Mentor rising developers, providing guidance and support.
• Foster a collaborative team environment.
• Influence engineering, product, design, and platform strategy.</p><p>Required Qualifications:
- Strong understanding of programming fundamentals and web technologies. Good problem-solving and analytical thinking skills. Ability to work effectively in a team and communicate clearly. Eagerness to learn new technologies and adapt to changing requirements. Good attention to detail, time management, and commitment to delivering high-quality work.
- Saudi National who is holding Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field.</p>
Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery
Intelie is an operational-AI software company best known for its flagship platform, Intelie LIVE®, which combines real-time analytics, predictive modeling, automation, and visual dashboards to help industrial operations transform system and sensor data into actionable insights. Used globally across sectors such as oil & gas, mining, logistics and food processing, the platform powers the operations of some of the world’s largest companies.<br>We are looking for an O&G Resident Engineer – AI Solutions to act as the bridge between advanced data/AI technologies and real-world operations in hydraulic Fracturing and Completions. This role combines deep field operational expertise with customer engagement and digital solution delivery, ensuring that AI-driven insights translate into measurable performance improvements in the field. You will work closely with customers in KSA (Dammam), partnering with engineering, operations, and technical teams to drive adoption, optimization, and continuous value delivery of Intelie’s real-time analytics platform.<br>Job Responsibilities<br>Customer Engagement & Value Delivery Serve as the primary technical advisor for clients, ensuring successful adoption of AI-powered solutions in frac and completions operations Build strong relationships with field engineers, ops managers, and technical stakeholders Translate customer challenges into data-driven use cases and solutions Drive measurable outcomes such as efficiency gains, cost reduction, and risk mitigation Operational SME (Frac & Completions) Apply hands-on expertise in hydraulic fracturing and completions to contextualize data insights Support configuration and tuning of analytics models based on operational realities Validate outputs and ensure alignment with field conditions, KPIs, and best practices Act as a trusted voice connecting domain knowledge with digital solutions AI & Digital Solution Enablement Support deployment and continuous improvement of AI-driven applications and real-time analytics Collaborate with product and data teams to refine models, alerts, and workflows Identify opportunities to expand use cases and increase platform footprint within accounts Provide feedback loops to enhance product capabilities and usability Field Integration & Change Management Facilitate adoption of new technologies within customer workflows and decision processes Train end users and promote best practices for data-driven operations Act as a change agent, helping teams transition from traditional monitoring to AI-assisted decision-making Continuous Improvement & Innovation Identify new business opportunities based on operational gaps and emerging needs Contribute to playbooks, use cases, and repeatable deployment strategies Support internal teams with field insights, market trends, and competitive intelligence<br>Education, Knowledge, Hard Skills & Abilities Domain Expertise Strong experience in hydraulic fracturing and completions operations (field or engineering roles) Proven ability in customer-facing roles (technical support, field engineering, consulting, or similar) Solid understanding of operational KPIs, workflows, and challenges in O&G Experience working with real-time data, monitoring systems, or digital oilfield technologies Strong communication skills with ability to translate technical concepts into business value Fluent English<br>Bonus Points<br>Arabic speaking is desirable Exposure to data analytics, AI/ML applications, or digital transformation initiatives Experience with Saa S platforms or industrial software solutions Background in production optimization, drilling analytics, or completions diagnostics Experience in cross-functional collaboration with product and engineering teams<br>Soft Skills Strong communication and stakeholder management Customer-centric mindset Problem-solving and critical thinking Ability to operate in multicultural environments High ownership and accountability Curiosity and continuous learning mindset
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a skilled DevSecOps / Sovereign Cloud Engineer with 5-10 years of experience to design, operate, and secure regulated cloud environments across AWS and GCP. The role combines cloud operations, security engineering, and SRE practices, including Kubernetes management, Infrastructure as Code (Terraform), CI/CD automation (Git/GitLab), and secrets management (HashiCorp Vault). The ideal candidate will drive security incident response, platform reliability, observability (Datadog), and 24x7 incident management while embedding security-by-design principles, automation-first practices, and continuous improvement into sovereign cloud platforms. Strong expertise in cloud security, networking fundamentals, compliance-driven environments, and cross-functional incident leadership is essential.</p><p>A week in the life of an DevSecOps Engineer:</p><ul><li>Deploy, manage and maintain the organization s Sovereign Cloud strategy, ensuring compliance with regulatory and data residency requirements on AWS/GCP public cloud.</li><li>Managing and operating Kubernetes clusters including upgrades, scaling, and workload optimization.</li><li>Security Incident Response & Risk Mitigation: Investigate, analyze, and remediate cloud security incidents, proactively identifying and mitigating vulnerabilities within AWS environments.</li><li>Secure Cloud Strategy & Continuous Improvement: Support and enhance the organization s AWS cloud strategy by embedding security best practices and continuously improving the cloud security posture.</li><li>Security Automation & DevSecOps Enablement: Implement and tune security tools, automate policy-driven responses, and advocate DevSecOps practices to ensure secure-by-design cloud operations.</li><li>Implementing and managing Infrastructure as Code (Terraform) to provision, modify, and secure cloud resources.</li><li>Maintaining and optimizing CI/CD pipelines using Git/GitLab, ensuring secure and automated deployments.</li><li>Managing secrets and secure access using HashiCorp Vault, including token lifecycle, access policies, and secrets rotation.</li><li>Troubleshooting complex infrastructure, networking, container, and performance issues across distributed systems.</li><li>Observability & Reliability Engineering: Monitor system health and performance using Datadog, define and manage SLIs/SLOs, and drive continuous reliability improvements aligned with SRE principles.</li><li>Incident Management & Operational Governance: Manage 24x7 alerting and incident response through PagerDuty, perform root cause analysis (RCA), and actively contribute to incident, problem, and change management processes.</li><li>Cloud Security & Performance Optimization: Conduct proactive system hardening, vulnerability remediation, performance tuning, and capacity planning across cloud environments.</li><li>Automation & Continuous Improvement: Develop automation using Python/Bash/Terraform/Ansible to reduce manual effort, improve operational efficiency, and strengthen platform resilience.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4 5 years of hands-on experience in DevSecOps, SRE roles.</li><li>Proven hands-on expertise managing Kubernetes clusters</li><li>Experience with Terraform (IaC) Deployment, Git/Gitlab for CI/CD and version control for best practices</li><li>Experience working with HashiCorp Vault, Terraform, Datadog, Pagerduty, Confluence etc</li><li>Strong understanding of Cloud Security principles (IAM, encryption, network security, container security, vulnerability management).</li><li>Experience in incident management, change management, and root cause analysis processes.</li><li>SRE & Automation Expertise: Strong understanding of SRE principles (SLIs, SLOs, error budgets, reliability metrics) with hands-on scripting experience in Python and/or Bash to drive automation-first practices.</li><li>Networking & Compliance Knowledge: Solid grasp of networking fundamentals (TCP/IP, DNS, load balancing, firewalls, VPNs, private endpoints) with experience or exposure to regulated and compliance-driven environments.</li><li>Leads incident bridges during P1/P2 outages, coordinating cross-functional teams and driving timely resolution with clear RCA.</li><li>Maintains a strong customer and business-focused mindset while prioritizing tasks.</li><li>Cloud certifications in a plus</li><li>Linux, Kubernets, Terraform, Ansible, Google Cloud knowledge is mandatory.</li></ul><p></p></section>
Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>Overview</strong><br><p><span>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</span></p><br><p><span>As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2025 WA100 Survey.</span></p><br><p><span>We invite you to join us. Why?</span></p><br><p><span>When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.</span></p><br> <br><strong>Responsibilities</strong><br><p><span><span>Our newest opportunity is for a <strong>Senior Project Engineer - Waste Management</strong> to join our award-winning team based in <strong>Riyadh</strong></span><strong><span><strong>, Sau</strong>di Arabia. </span></strong></span></p><br><p><span>Reporting directly to a Project Manager in our award winning Sustainability and Environment Division, this role is responsible for support on Waste Management Policy and Strategy for projects across the Middle East and potentially further abroad.</span></p><br><p><span>We envisage success in this role to include:</span></p><br><ul><li><p><span>Support the delivery of waste infrastructure projects across feasibility, design, procurement, construction and operational phases</span></p><br></li><li><span>Undertake technical assessments of waste treatment technologies including thermal, mechanical, biological and chemical treatment processes.</span></li><li><span>Prepare technical reports, feasibility studies, due diligence assessments, options appraisals and business cases.</span></li><li><span>Assist in the development of Basis of Design (BoD) documents, process descriptions, mass balances, technical specifications and performance requirements.</span></li><li><span>Review contractor and technology supplier submissions and provide technical recommendations.</span></li><li><span>Support waste characterisation studies, facility assessments, operational reviews and technology evaluations.</span></li><li><span>Assist in the development of procurement documentation including Employer's Requirements, technical schedules and tender evaluation criteria.</span></li><li><span>Lead client meetings, workshops and stakeholder engagement activities.</span></li><li><span>Support Project Managers in planning and delivering projects to programme, budget and quality requirements.</span></li><li><span>Coordinate multidisciplinary technical inputs from internal teams and external specialists.</span></li><li><span>Track project actions, risks, deliverables and programme activities.</span></li><li><span>Assist with the management of subcontractors and specialist technical advisors.</span></li><li><span>Proactively undertake business development activities and lead client presentations.</span></li><li><span>Prepare technical and commercial proposals.</span></li><li><span>Develop methodologies, work plans, programmes and resource schedules for bids.</span></li><li><span>Prepare project references, case studies and capability statements.</span></li><li><span>Contribute to market research and opportunity identification across target sectors and geographies.</span></li><li><span>Maintain awareness of developments in waste treatment technologies, circular economy initiatives and regulatory requirements.</span></li><li><span>Contribute to the continuous improvement of technical standards, templates and best practices across the waste management team.</span></li><li><span>Support knowledge sharing and collaboration across KEO's international offices.</span></li></ul> <br><strong>Qualifications</strong><br><p><span><span><span>To be successful in this dynamic opportunity, we envision that your career journey to date will include <strong>10 years' work experience</strong> partnered with a <span><strong>Bachelor's degree in Mechanical Engineering, Chemical Engineering, Process Engineering, Environmental Engineering or a related </strong></span><span><span><strong>discipline</strong></span>. </span></span></span><span>Knowledge of waste management principles and strategic waste management planning will be a plus. </span></span></p><br><ul><li><span>Typically 4 – 10 years of relevant experience within waste management, environmental infrastructure, utilities or industrial sectors.</span></li><li><span>Experience working in Saudi Arabia and the wider GCC.</span></li><li><span>Experience preparing technical reports and engineering studies.</span></li><li><span>Understanding of waste treatment and resource recovery technologies</span></li></ul><p><span>KEO’s performance is founded upon integrity, results, innovation, safety and our people. We embrace diversity and recognise its’ contribution to client success wherever we work.</span></p><br><p><span>We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.</span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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Bachelor's degree / higher diploma </div>
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Founding Engineer based in Saudi Arabia.<br><br>This is a high-impact founding engineering opportunity for a hands-on builder who wants to shape both product and engineering from an early stage.<br><br>You will lead development of a web application and blockchain-based infrastructure designed to accelerate scientific research and collaboration.<br><br>The role combines software development, technical decision-making, product thinking, and engineering leadership.<br><br>You will work across modern web technologies and smart contracts while helping define scalable technical foundations.<br><br>As the organization grows, you will play a key role in building an exceptional engineering team and establishing a strong engineering culture.<br><br>The position offers significant autonomy, ownership, and influence over both the technology roadmap and product direction.<br><br>It is ideal for an experienced engineer who is technically strong, collaborative, optimistic, and energized by building something ambitious from the ground up.<br><br>Accountabilities<br><br>Lead the development and evolution of the web application, delivering high-quality features aligned with product goals and user needs. Make and own engineering decisions that support the product roadmap, technical scalability, reliability, and long-term maintainability. Contribute to the design and evolution of the platform's cryptoeconomic structure and reward mechanisms. Establish scalable engineering practices, development processes, and quality standards that enable the organization to grow effectively. Help shape the technical direction and product vision as a founding member of the engineering organization. Following product-market fit, recruit, develop, and lead a high-performing engineering team. Establish a strong engineering culture centered on quality, collaboration, ownership, and continuous improvement. Collaborate closely with product and other stakeholders to translate ideas into reliable, scalable technology.<br><br>Requirements<br><br>Proven experience building scalable, testable, and high-quality web or mobile applications. Strong software engineering fundamentals and the ability to make sound technical decisions in an evolving product environment. Demonstrated experience building or leading high-quality engineering teams. Excellent written and verbal communication skills, with an ability to communicate clearly, concisely, and thoughtfully. Strong ownership mentality and the ability to operate autonomously while maintaining alignment with broader product objectives. Humble, optimistic, energetic, and inspiring approach to collaboration and leadership. Experience with Django and React is highly desirable. Experience developing mobile applications with React Native is a plus. Experience writing Ethereum smart contracts and working with Solidity is a strong advantage. Familiarity with Postgre SQL and modern web application architectures is beneficial.<br><br>Benefits<br><br>Founding-level ownership and influence over product and engineering direction. Opportunity to shape an engineering organization and culture from an early stage. Remote working environment with the flexibility to contribute from Canada. Opportunity to work across web development, blockchain, smart contracts, and innovative technology. Significant autonomy in technical decision-making and execution. Opportunity to help build products designed to accelerate scientific research and collaboration. Potential to grow into a key engineering leadership position as the organization scales.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Shopify Engineer based in Saudi Arabia.<br><br>Join a remote engineering team delivering innovative digital commerce experiences for global brands and emerging ventures. In this senior role, you’ll take ownership of building sophisticated Shopify solutions, from custom themes to purpose-built applications. You’ll translate polished UI/UX designs into high-quality, pixel-perfect storefront experiences while ensuring strong performance, scalability, and accessibility. The role combines hands-on engineering with technical ownership across integrations, architecture, and platform optimization. You’ll collaborate closely with designers, strategists, and fellow engineers to deliver complete solutions from concept through launch. This is an opportunity to work on challenging projects across diverse industries while staying at the forefront of Shopify’s rapidly evolving ecosystem.<br><br>Accountabilities<br><br>Lead the development of custom Shopify themes from the ground up, translating UI/UX designs into responsive, pixel-perfect storefront experiences. Architect, develop, and maintain custom Shopify applications tailored to specific client and business requirements. Optimize Shopify storefronts for speed, performance, SEO, responsiveness, and scalability while following modern engineering best practices. Design and implement integrations between Shopify environments and third-party APIs, services, and platforms. Contribute to scalable technical architecture and make informed engineering decisions across Shopify projects. Work collaboratively with designers, strategists, product stakeholders, and other engineers to deliver end-to-end digital commerce solutions. Participate in modern development workflows, including version control, code reviews, CI/CD, testing, and deployment practices. Stay current with Shopify APIs, development tools, platform capabilities, and ecosystem updates, applying relevant innovations to projects.<br><br>Requirements<br><br>5+ years of professional experience in front-end or full-stack development, with significant hands-on experience building Shopify solutions. Strong expertise in Shopify Liquid, HTML5, CSS3, Java Script (ES6+), and modern front-end development practices. Proven experience creating custom Shopify themes from scratch rather than primarily modifying existing templates. Deep experience developing private and public Shopify apps using Node.js, React, or comparable technologies. Strong understanding of REST and Graph QL APIs, including experience integrating third-party services into Shopify environments. Solid knowledge of storefront performance optimization, responsive design, SEO best practices, and scalable Shopify architecture. Experience with Git-based development workflows, CI/CD pipelines, and modern software engineering practices. Ability to troubleshoot complex technical challenges and independently drive projects toward high-quality outcomes. Strong communication and collaboration skills, with the ability to work effectively with multidisciplinary teams in a fast-paced environment. Curiosity and willingness to continuously learn as the Shopify ecosystem, APIs, and development standards evolve.<br><br>Benefits<br><br>Competitive salary.100% remote working. Flexible work location. Unlimited paid time off, within reasonable guidelines. Local public holidays. Opportunities for professional growth and career development. Support for professional and personal development. Company-branded swag package. Opportunity to work on innovative digital products and projects for established brands and emerging ventures. Collaborative, multidisciplinary remote working environment<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Posotion Summary : Infrastructure/Migration Engineer works under Project Delivery organization with primary role to support infrastructure-related project activities from design to implementation. He/she will be responsible for sizing/planning, installation, maintenance, and support for On-Premise and Cloud environments. Infrastructures include development, prototyping, testing, training, and production environments as applicable for each project. The support includes but not limited to virtualization, segmentation, and firewall / security configuration to ensure reliability, security, and optimized life-cycle performance necessary for installed solutions. Also, Infrastructure Engineer is expected to work with cross-functional delivery teams. Roles & Responsibilities :Manage, configure, and maintain Windows Server environments (Active Directory, DNS, DHCP, Group Policy, IIS). Assess existing on-premise application infrastructure and dependencies to determine cloud migration readiness, including servers, databases, storage, network, security, and application components. Participate in application migration planning and execution from on-premise environments to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). Perform patch management, vulnerability assessment, and remediation across servers Develop installation manuals. Administer and configure firewalls, VPNs, and security policies to protect enterprise networks. Manage software deployment and updates Monitor system performance, troubleshoot incidents, and ensure high availability and disaster recovery readiness. Implement and enforce IT security best practices, compliance with internal and regulatory standards. Collaborate with security and network teams to address threats, alerts, and vulnerabilities Maintain detailed documentation for system configurations, processes, and troubleshooting steps. Understanding of network protocols, security principles, and server hardening techniques. Experience with backup/recovery solutions Responsible to maintain and monitor infrastructure health. Responsible to maintain and update IT security base line documents. Responsible for setting up Production, Development and QA environments. Qualifications & Requirements Academic: BSc in computer engineering or similar field. Experience: Minimum of 5 Years experience involving infrastructure design and deployment for complex applications. Operating Systems: Experience in Windows and/or Linux (tools like Ubuntu, Redhat, Cent OS, etc.) server OS’s. Virtualization: Experienced in tools such as VMWare / Microsoft Hyper V and KVM. Experienced in virtualization of network, data centers, and storage management. Server Administration: Working knowledge in admin activities such as below. Storage: Backup of data / recovery images, fault-tolerance, redundancy, etc. Configuration/task automation using Power Shell, Python, etc. Performance monitoring with tools such as Datadog, Grafana/Prometheus, etc. Migration activities from/to virtualized platforms. Working knowledge with applications scripting such as javascript. Network Administration: Network configuration/protocols (DNS, IPv4, TCP/IP, DHCP, etc.) Experience in Load Balancer (Traffic proxy/distribution) especially F5. Cybersecurity Controls: Experinced in security control tools such as XDR, Firewalls/WAFs, Micro Segmentation, Zero-Trust Framework, API Protection, Active Directory, penetration and hardening tests, etc.). Fundamental knowledge in OT cybersecurity architectures and layers especially DMZ and topology as per ISA95. Cloud Systems: cloud services, network architecture, data storage redundancy, availability, and recovery solutions. Practical experience with at least one major cloud platform: AWS, Microsoft Azure, or GCPResource Management/Scheduling systems: Knowledgeable about tools like Slurm (for Linux), LSF, etc. Infrastructure Integration Basic knowledge in BI/DSV infrastructure integration/configuration requirements Knowledgeable in dataflows/structures from/to historians such as PI. Knowledgeable in integration / configuration with SAP/ERPs. Working knowledge of decentralized architecture design patterns and distributed systems. Professional Certifications: Holds at least 1 Cybersecurity and 1 Virtualization certifications. Analytical Skills: Analytical, problem-solving, and attention-to-detail. Ability to work independently and under pressure. Communication Skills:Possesses excellent communication skills (strong English language) Excellent interpersonal, collaboration, leadership and presentation skills. Effectively collaborate with cross-functional teams Ability to work independently and collaboratively with others in team environment. Preferences:Master’s degree is preferred. Holds project management certifications such as PMPHolds Azure/AWS/Google advanced certifications. Dev Ops experience Infrastructure-as-a-Code experience is a plus (e.g. Terraform/Terragrunt, Ansible, CDK, etc.) Scripting in Perl/Korn is a plus. Experience in data streaming (e.g. Kafka, Azure Event Hubs, AWS Kinesis, etc.) is preferred.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Software Engineer based in Saudi Arabia.<br><br>Join a fast-paced, remote-first engineering team building scalable cloud-native platforms that power enterprise-grade applications. In this role, you'll design and develop high-performance backend services, solve complex distributed systems challenges, and help shape the architecture of innovative products from the ground up. Working closely with cross-functional teams, you'll have the opportunity to influence technical decisions, lead key initiatives, and contribute to reliable, secure, and highly scalable solutions. This position is ideal for an experienced backend engineer who thrives in startup environments, enjoys ownership, and is passionate about building impactful technology using modern cloud infrastructure.<br><br>Accountabilities<br><br>Design, build, and maintain scalable cloud-native backend services using Golang within a modern microservices architecture. Develop and operate distributed systems deployed on Kubernetes across major cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. Lead the architecture, design, and implementation of new product features and backend services from concept through production. Apply strong computer science fundamentals to solve complex problems related to distributed systems, scalability, networking, concurrency, and performance. Build secure integrations with enterprise identity and authentication systems, including SSO and Identity Providers such as Okta. Collaborate with product, engineering, and infrastructure teams to define technical solutions and deliver high-quality software. Contribute across different layers of the technology stack when needed, particularly where backend services interact with infrastructure components. Drive technical excellence by promoting best practices in system reliability, observability, and maintainability.<br><br>Requirements<br><br>5+ years of professional experience designing, developing, and maintaining highly scalable backend systems and cloud-based microservices. Strong proficiency in Golang and experience working with multiple programming languages. Solid understanding of computer science fundamentals, including algorithms, data structures, operating systems, networking, concurrent programming, and distributed systems. Hands-on experience deploying and managing applications in Kubernetes environments on AWS, Google Cloud Platform, or Microsoft Azure. Experience building enterprise-grade applications with knowledge of authentication and identity management solutions such as Okta or other SSO/IdP platforms. Comfortable working across the technology stack with a primary focus on backend engineering. Proven ability to lead technical projects, influence architectural decisions, and deliver scalable production systems. Strong problem-solving abilities with the flexibility to navigate ambiguity in a fast-growing startup environment. Excellent communication and collaboration skills, with experience working effectively in fully remote teams.<br><br>Benefits<br><br>Fully remote work environment with flexible working hours. Competitive salary and early-stage equity opportunity. Comprehensive health, dental, and vision insurance. Home office stipend to support your remote workspace. Flexible paid time off policy. High level of autonomy, ownership, and influence over technical decisions. Opportunity to work on innovative AI-powered products with significant real-world impact. Collaborative, transparent, and mission-driven engineering culture.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
<h2 class="h5">Job description</h2>
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<p><span>Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at USCareers@airbus.com</span></p><br><br><br><ul><li>Notice: Know Your Rights: Workplace Discrimination is Illegal</li><li>Notice: Pay Transparency Nondiscrimination (English)</li><li>Aviso: Transparencia en el Pago No Discriminación (Spanish)</li></ul><br><br><p><span><b><b>Job Description:</b></b></span></p><br><br><p><b><b>Position Summary</b></b></p><br><br><p><span>As an </span><b><span>STC Electrical Systems Engineer, </span></b><span>you will be the technical lead for all electrical systems architecture and integration tasks across our Supplemental Type Certificate (STC) cabin upgrade projects. Operating under JAR25, CS25, and FAR25 airworthiness requirements, you will own the electrical package from end to end—translating initial customer requests into certified, installable wiring and system configurations for the hangar floor.</span></p><br><br><br><p><b>Meet the team:</b></p><br><br><p>Our Engineers have the privilege of working on complex, highly engineered machines and are involved at all stages of the aircraft life cycle, from product development to manufacturing and direct support to our airline customers. If you’re interested in designing, creating, and testing the present and future of Airbus products across the globe, join our mission to connect the world.</p><br><br><br><p><b>Your working environment:</b></p><br><br><p>The Engineering Center in Mobile, Alabama houses hundreds of Airbus engineers who assist in the design and development of Airbus commercial aircraft cabins, including aftermarket upgrades, reconfigurations and services of all product types across the globe.</p><br><br><br><p><b>How we care for you:</b></p><br><br><ul><li><p>Financial Rewards: Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan and the ability to participate in an Employee Stock Ownership Plan (“ESOP”)</p><br><br></li><li><p>Work/Life Balance: Paid time off including personal time, holidays and a generous paid parental leave program.</p><br><br></li><li><p>Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages. </p><br><br></li><li><p>Individual Development: Upskilling and development opportunities through our global Leadership University, including unlimited access to 10,000+ e-learning courses focusing on ways to develop your employability, certifications, career path as well as the opportunity to participate in accelerated development programmes and both national and international mobility.</p><br><br></li></ul><br><br><p><b><b>Your challenges:</b></b></p><br><br><ul><li><p><span>You will act as the technical anchor for the electrical systems team, ensuring all engineering packages are delivered on-time and on-quality.</span></p><br><br></li><li><p><span>Architecture & Design: Define complex cabin electrical system architectures (block diagrams), author equipment specifications, and validate all engineering Wiring Diagrams.</span></p><br><br></li><li><p><span>Compliance Deliverables: Author and approve technical/substantiation notes, installation instructions, and Service Bulletins (SBs).</span></p><br><br></li><li><p><span>Project Team Representation: Represent the electrical discipline during multi-functional team meetings and directly report status to the Project Manager.</span></p><br><br></li><li><p><span>On-Site Technical Assistance: Provide real-world engineering support to the working party technicians during the actual aircraft modification phase.</span></p><br><br></li></ul><ul><li><p><span>Ensure all cabin electrical designs strictly align with applicable aviation regulations and Airbus engineering requirements.</span></p><br><br></li><li><p><span>Perform all technical tasks utilizing approved company processes, engineering tools, and strict ethics/compliance standards.</span></p><br><br></li><li><p><span>Actively manage your tasks to ensure all deliverables stay within the agreed project schedule and budget</span><b><span>.</span></b></p><br><br></li></ul><ul><li><p><span>Identify opportunities to streamline, simplify, or automate current engineering procedures, design workflows, and software tools.</span></p><br><br></li><li><p><span>Promote lean ways of working and champion constructive changes within the engineering team.</span></p><br><br></li><li><p><span>Capture and share lessons learned from completed retrofit projects to improve global execution.</span></p><br><br></li></ul><ul><li><p><span>Partner with the Program team during the initial offer phase to provide technical estimations and quotations for prospective customer modifications.</span></p><br><br></li><li><p><span>Maintain agility by occasionally supporting simple cabin mechanical design tasks, configuration management, or technical publication updates as needed.</span></p><br><br></li></ul><br><br><p><b>Your boarding pass:</b></p><br><br><ul><li><p><span>Bachelor’s Degree in Engineering (Electrical, Aeronautical, or Civil Engineering).</span></p><br><br></li></ul><ul><li><p><span>Minimum of 6 years of experience in the aviation industry, with a direct focus on aircraft cabin electrical systems design, development, and certification pathways.</span></p><br><br></li></ul><br><ul><li><p><span>Authorized to Work in the US</span></p><br><br></li></ul><br><ul><li><p><span>ATA Chapter Expertise: Strong engineering experience with embedded aircraft electrical systems across key ATA chapters, including:</span></p><br><br></li></ul><ul><li><p><span>ATA 23 (Communications)</span></p><br><br></li><li><p><span>ATA 24 (Electrical Power)</span></p><br><br></li><li><p><span>ATA 25 (Cabin Equipment/Galley/In-Flight Entertainment)</span></p><br><br></li><li><p><span>ATA 26 (Fire Protection)</span></p><br><br></li><li><p><span>ATA 33 (Lights)</span></p><br><br></li><li><p><span>ATA 44 (Cabin Systems)</span></p><br><br></li><li><p><span>Substantiation & Testing: Proven hands-on experience developing Safety Analyses, Electrical Load Analyses (ELA), Electromagnetic Interference (EMI) mitigations, and Ground Test Instructions.</span></p><br><br></li></ul><ul><li><p><span>Regulations & Pubs: Working knowledge of equipment qualification standards DO-160 and DO-178. Mastery of standard Aircraft Publications including AMMs, AWMs, and IPCs.</span></p><br><br></li></ul><br><ul><li><p><span>General technical knowledge of Airbus aircraft systems and architectures.</span></p><br><br></li></ul><ul><li><p><span>Familiarity with EASA Part 21 (DOA / POA) and Part 145 regulatory frameworks.</span></p><br><br></li></ul><ul><li><p><span>Prior experience managing technical projects or navigating complex aircraft configuration management.</span></p><br><br></li></ul><br><ul><li><p><span>A highly collaborative team player with a synthetic mindset (ability to condense complex electrical issues into clean, executable concepts).</span></p><br><br></li></ul><ul><li><p><span>Excellent presentation and communication skills, with the ability to confidently present technical data to executive leadership.</span></p><br><br></li></ul><ul><li><p><span>High motivation and flexibility to shift gears smoothly in a demanding, fast-paced retrofit environment.</span></p><br><br></li></ul><br><ul><li><p><span>Google Suites</span></p><br><br></li></ul><br><ul><li><p><span>In depth understanding of the cabin / cabin systems retrofit process.</span></p><br><br></li></ul><br><ul><li><p><span>Supports the projects from technical proposal to after return into service.</span></p><br><br></li></ul><br><br><p><b><b>Physical Requirements</b></b></p><br><br><p><b><b>Onsite: </b></b>90% Remote:10%</p><br><br><p><b><b>Vision: </b></b>able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings. Daily</p><br><br><p><b><b>Hearing: </b></b>able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms. Daily</p><br><br><p><b><b>Speaking:</b></b> able to speak in conversations and meetings, deliver information and participate in communications. Daily</p><br><br><p><b><b>Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): </b></b>able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts. Daily</p><br><br><p><b><b>Carrying: </b></b>able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs. Daily</p><br><br><p><b><b>Lifting: </b></b>able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs. At Least Once a Month</p><br><br><p><b><b>Pushing / Pulling: </b></b>able to push and pull small office furniture and some equipment and tools. Daily</p><br><br><p><b><b>Sitting: </b></b>able to sit for long periods of time in meetings, working on computer. Daily</p><br><br><p><b><b>Squatting / Kneeling: </b></b>able to squat or kneel to retrieve or replace items stored on low shelving. Daily</p><br><br><p><b><b>Standing: </b></b>able to stand for discussions in offices or on production floor. Daily</p><br><br><p><b><b>Travel: </b></b>able to travel independently and at short notice. Rarely</p><br><br><p><b><b>Walking (include routine walking such as to a shared printer to retrieve documents):</b></b> able to walk through office and production areas including uneven surfaces. Daily</p><br><br> <br><br><p>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.</p><br><br><br><p><span><b><b><b><b>Company:</b></b></b></b></span></p><br><br>Airbus Americas Customer Services, Inc.<br><p><b>Employment Type:</b></p><br><br>US - Direct Hire<br><p><b>Experience Level:</b></p><br><br>Professional<br><p><b>Remote Type:</b></p><br><br>On-site<br><p><b>Job Family:</b></p><br><br>Customer Eng.&Technical Support&Services <JF-CS-PS><p>------</p><br><br>Job Posting End Date: 07.25.2026<p>------</p><br><br>Airbus provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. In addition to federal law requirements, Airbus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, demotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits and training. Airbus expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. As a matter of policy, Airbus does not sponsor visas for US positions unless specified. Only applicants with current work authorization will be considered. Airbus does not offer tenured or guaranteed employment. Employment with Airbus is at will, meaning either the company or the employee can terminate the employment relationship at any time, with or without cause, with or without notice. Airbus reserves the right to revise or change job duties and responsibilities as the need arises. This position description does not constitute a written or implied contract of employment.<br><p>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.<br>Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.</p><br><br><p><span>Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to </span><span>emsom@airbus.com.</span></p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
<div class="row is-m v-align-top t-small bg-mute">
<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Years_of_experience">
No experience required </div>
</div>
<div class="row is-m v-align-top t-small ">
<div class="col is-3 p5" data-automation-id="label_Degree">
<b>Degree</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
</div>
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Dev Ops Engineer based in Saudi Arabia.<br><br>This role offers the opportunity to build and improve the infrastructure that powers globally distributed digital products.<br><br>You will work at the intersection of software engineering, cloud infrastructure, and developer experience, helping teams deliver reliable products faster.<br><br>The position focuses on designing automation solutions, improving deployment workflows, and maintaining scalable production environments.<br><br>You will contribute to internal platforms, infrastructure reliability, and operational efficiency within a remote-first international team.<br><br>This is an ideal opportunity for a Dev Ops professional who enjoys solving complex technical challenges and taking ownership of impactful projects.<br><br>You will collaborate with engineers across teams while working with modern technologies including Kubernetes, Go, Terraform, and CI/CD systems.<br><br>Accountabilities<br><br>As a Dev Ops Engineer, you will design, develop, and maintain the tools and infrastructure that enable efficient software delivery. You will help improve platform reliability, automation, and developer productivity while supporting scalable engineering practices.<br><br>Design and develop internal services and tools using Go to support deployment automation and internal developer platforms. Build, maintain, and optimize scalable CI/CD pipelines using Git Lab CI/CD. Improve and support Kubernetes-based production and pre-production environments. Contribute to the development and evolution of internal deployment platforms and engineering workflows. Optimize application environments, including staging and ephemeral environments, for performance, reliability, and cost efficiency. Implement and maintain infrastructure-as-code solutions using Terraform and Ansible. Enhance monitoring, logging, and alerting systems using tools such as Grafana, Open Search, and related observability platforms. Support automation initiatives that reduce manual operational work and improve delivery speed. Collaborate with engineering teams to improve developer experience and software delivery processes. Take ownership of technical decisions, infrastructure improvements, and operational outcomes.<br><br>Requirements<br><br>The ideal candidate will have strong Dev Ops or Platform Engineering experience, excellent automation skills, and the ability to work independently in a distributed environment.<br><br>3-5+ years of experience in Dev Ops, Platform Engineering, or a similar infrastructure-focused role. Strong Go (Golang) development skills with experience building production services, tools, or platform components. Hands-on experience managing Kubernetes environments in production. Strong knowledge of CI/CD practices and experience with Git Lab CI/CD or similar tools. Solid Linux administration skills and experience managing production systems. Experience with Infrastructure as Code tools such as Terraform and Ansible. Familiarity with observability solutions including Grafana, Prometheus, Victoria Metrics, ELK, or Open Search. Strong understanding of modern Dev Ops practices, cloud infrastructure, and software delivery lifecycles. Ability to take ownership, make technical decisions, and drive improvements independently. Strong collaboration skills and experience working with cross-functional, remote teams. Fluent Russian communication skills and intermediate English proficiency (B1 or higher).<br><br>Benefits<br><br>Fully remote, full-time work opportunity.28 calendar days of annual vacation.7 additional wellness days per year for personal needs and recovery. Performance bonuses of up to $5,000 for successful employee referrals.50% reimbursement for professional training, conferences, and industry events. Corporate discounts for English language courses. Health benefits, including reimbursement support for medical insurance or healthcare expenses where applicable. Workplace support, including equipment provision or reimbursement for home office and coworking expenses. Access to a workplace setup budget of up to $1,000 gross every three years, depending on location. Internal recognition and rewards program with opportunities to exchange bonuses for merchandise, team activities, and wellness benefits. Opportunity to work with an international, remote-first team building impactful digital products.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are looking for AI Engineer to join Ninja and play a foundational role in building our AI function.<br> This position is focused on designing, developing, and deploying production-ready agentic AI systems that deliver real business impact.<br> You will work on customer care automation, knowledge management pipelines, and intelligent targeting and decision-making engines, ensuring scalable, reliable, and high-performance AI solutions.<br> This is a hands-on engineering role for someone who enjoys shipping production systems rather than building experimental prototypes, and who is excited to shape the future of AI at Ninja.<br> Strong Python (3.<br>11+), with production experience in FastAPI services Agentic workflow design: Has designed or built multi-step agentic workflows, and understands the tradeoffs between deterministic state machines / graphs and open-ended ReAct-style agents.<br> LLM integration: Has built directly against the Anthropic and/or OpenAI SDKs in production.<br> Comfortableworking without heavy abstraction layers LangGraph experience is a plus.<br> Retrieval judgment: Understands when structured/keyed database lookups beat vector search, and hasimplemented RAG when it's actually the right tool Data layer: Comfortable with PostgreSQL, SQLAlchemy 2.<br>0 (async), Alembic migrations, pgvector, and Redisfor session/state management.<br> Production discipline: Has shipped systems with real guardrails: cost controls, latency budgets,escalation/fallback paths, and evaluation loops Familiarity with an LLM observabilitytool (Langfuse, LangSmith, Helicone, or equivalent) is expected.<br> Prompt engineering & evals: Practical experience writing, testing, and iterating on prompts, including building orusing eval frameworks to catch regressions.<br> MCP / tool-serving: Exposure to MCP (Model Context Protocol) servers or similar tool-exposure patterns for AI assistants is a strong plus.<br> Multilingual (nice-to-have): Experience with Arabic or other non-English LLM applications (dialect handling,multilingual evals) Public GitHub required: A public GitHub profile with real, browsable work — personal projects, open-source contributions, or code samples they can point to.<br> Solid hands-on experience: Genuine hands-on builder, not someone who has only architected or managed.<br> They should be able to walk through code they personally wrote line-by-line, including decisions and mistakes.<br> Ownership and proactivity.<br> This is a founding role with minimal oversight.<br> We need someone who identifies problems and drives them to done without being told step-by-step what to do.<br> Riyadh-based (or hybrid).<br> Based in Riyadh, or willing to work hybrid with regular in-person presence in Riyadh.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
<div class="row is-m v-align-top t-small bg-mute">
<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Years_of_experience">
No experience required </div>
</div>
<div class="row is-m v-align-top t-small ">
<div class="col is-3 p5" data-automation-id="label_Degree">
<b>Degree</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
</div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.</p><p>Key Responsibilities</p><p>AI & Machine Learning Development</p><ul><li>Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><p>Generative AI Engineering</p><ul><li>Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>Implement vector databases and semantic search solutions.</li><li>Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><p>MLOps & AI Operations</p><ul><li>Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>Implement scalable AI platforms supporting multiple business units.</li></ul><p>Cloud & Platform Engineering</p><ul><li>Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>Manage containerized AI environments using Docker and Kubernetes.</li><li>Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>Optimize cloud resources, performance, and operational costs.</li></ul><p>Data Engineering & Integration</p><ul><li>Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><p>Stakeholder Management</p><ul><li>Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><p>Required Technical Skills</p><p>Artificial Intelligence & Machine Learning</p><ul><li>Machine Learning</li><li>Deep Learning</li><li>Natural Language Processing (NLP)</li><li>Predictive Analytics</li><li>Computer Vision (preferred)</li><li>Reinforcement Learning (preferred)</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt Engineering</li><li>AI Agents & Multi-Agent Systems</li><li>Fine-Tuning and Model Optimization</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><p>MLOps</p><ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring & Observability</li><li>CI/CD for ML</li><li>Feature Stores</li><li>Model Registry</li><li>Experiment Tracking</li><li>Model Governance</li></ul><p>Cloud Platforms</p><ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul><p>Preferred</p><p>Containers & DevOps</p><ul><li>Docker</li><li>Kubernetes</li><li>Git</li><li>GitHub Actions</li><li>Jenkins</li><li>Terraform</li><li>Infrastructure as Code</li></ul><p>Programming Languages</p><ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul><p>Qualifications</p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</p><p>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>Experience Requirements</p><ul><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Azure AI Engineer Associate</li><li>AWS Machine Learning Specialty</li><li>Google Professional Machine Learning Engineer</li><li>OCI AI Foundations Associate</li><li>Kubernetes Certifications (CKA/CKAD)</li><li>Databricks Machine Learning Professional</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li></ul><p>Mandatory Requirements</p><ul><li>Native or Fluent Arabic Speaker.</li><li>6 – 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li><li>Native or Fluent Arabic Speaker.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Purpose HanmiGlobal is seeking a highly qualified Senior Telecom Engineer to join our program management and PMCM team in Saudi Arabia.<br> In this role, you will deliver program-level telecommunications and ICT engineering expertise and technical governance for a mega multi-work package land and infrastructure development program in Riyadh, delivered on behalf of a major government entity.<br> You will be providing program-level technical expertise, engineering assurance, and collaborative oversight for reviewing and monitoring all telecommunications, ICT, and smart infrastructure designs across the program, ensuring all fiber optic networks, communication systems, and digital infrastructure submissions are fully integrated and compliant with approved standards, service provider requirements, and operational needs under the direction of the Technical Manager, while supporting the successful delivery of the overall development program.<br> Reports To: Technical Manager Key Responsibilities Review telecommunications engineering reports, ICT strategies, network studies, and design drawings prepared by Lead Developers to verify compliance with approved criteria and Client’s requirements.<br> Assess fiber optic backbone networks, telecommunications duct banks, and network architectures for functionality, reliability, scalability, and maintainability.<br> Evaluate smart city infrastructure proposals, intelligent systems integration, and digital infrastructure initiatives to ensure future-ready and scalable capabilities.<br> Support the implementation of program-level technical governance and engineering assurance processes across all package submissions.<br> Coordinate with the Technical Manager, Senior Electrical Engineer, and program technical teams to resolve interface conflicts and integrate multidisciplinary infrastructure designs.<br> Evaluate the technical, operational, and lifecycle impacts of design changes and telecommunications-related Value Engineering proposals submitted by Lead Developers.<br> Provide specialist engineering expertise during technical workshops, design reviews, and coordination meetings to resolve project implementation issues.<br> Collaborate with Lead Developers, consultants, telecom service providers, and regulatory authorities to streamline network connectivity and secure authority approvals.<br> Prepare technical review comments, engineering assessments, and executive summaries for the Technical Manager, PMCM Management, and the Client.<br> Identify and mitigate telecommunications and ICT-related compliance risks while promoting engineering excellence, digital transformation, and continuous improvement across the program.<br> Qualifications & Experience Bachelor’s Degree in Telecommunications Engineering, Electronic Engineering, Communications Engineering, ICT Engineering, Electrical Engineering, or a related discipline.<br> Chartered Professional membership or equivalent professional accreditation.<br> Minimum fifteen (15) years of professional experience in telecommunications infrastructure, ICT systems, fiber optic networks, smart city infrastructure, or major capital projects.<br> Experience within PMCM, PMC, consultancy, developer, telecommunications operators, or client-side organizations, preferably on large-scale infrastructure and land development projects in Saudi Arabia or the GCC region.<br> Core Competencies Telecommunications Engineering Design Review & ICT Infrastructure Fiber Optic Networks & Communications Systems Architecture Smart City Infrastructure & Digital Infrastructure Planning Telecommunications Utility Coordination & Network Capacity Assessment Technical Compliance Review & Engineering Assurance Frameworks Value Engineering Assessment & Constructability Review Technical Risk Assessment & Mitigation Technical Reporting & Telecom Service Provider Coordination Leadership, Strategic Thinking, Communication, Team Collaboration, and Problem Solving</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
<div class="row is-m v-align-top t-small bg-mute">
<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Years_of_experience">
No experience required </div>
</div>
<div class="row is-m v-align-top t-small ">
<div class="col is-3 p5" data-automation-id="label_Degree">
<b>Degree</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Degree">
Bachelor's degree / higher diploma </div>
</div>