Python Developer Jobs in Saudi

<p>We are looking for a Senior Specialist Cybersecurity Production Support to join our team in Saudi Arabia. Job Overview: The Senior Specialist will be responsible for supporting and maintaining cybersecurity platforms, ensuring high availability, operational stability, and effective security monitoring across enterprise environments. Key Responsibilities: Provide production support for cybersecurity platforms including SIEM, SOAR, VPN, and security monitoring solutions. Monitor cybersecurity platforms, dashboards, alerts, and operational activities. Support Splunk SIEM use cases, log ingestion, correlation rules, and performance optimization. Manage and maintain SOAR workflows, playbooks, and automation processes. Support VPN infrastructure including secure remote access and site-to-site connectivity. Perform Incident, Problem, and Change Management activities following ITIL practices. Conduct Root Cause Analysis (RCA) for security incidents and platform issues. Support Cyber Incident Response activities including investigation and remediation. Participate in Disaster Recovery (DR) and Business Continuity Planning (BCP). Maintain security documentation, runbooks, SOPs, and operational reports. Collaborate with security teams, infrastructure teams, and vendors for issue resolution.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Cybersecurity, Information Security, Computer Science, or related field. 4 8 years of experience in cybersecurity production support within enterprise or financial environments. Hands-on experience with: SIEM platforms (Splunk Enterprise / Splunk ES preferred) SOAR platforms (Cortex XSOAR, Splunk SOAR, or similar) VPN technologies (IPSec / SSL VPN) Security monitoring and incident response Strong understanding of cybersecurity operations, threat detection, and log analysis. Experience with ITIL Incident, Problem, and Change Management. Knowledge of SAMA Cybersecurity Framework, NCA ECC, PDPL, and NDMO is preferred. Basic scripting knowledge (Python, PowerShell, or similar) is preferred.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Senior Specialist – Cybersecurity Production Support – Saudi Arabia ??</strong></p><br><p>We are looking for a <strong>Senior Specialist – Cybersecurity Production Support</strong> to join our team in Saudi Arabia.</p><br><p><strong>Job Overview:</strong><br>The Senior Specialist will be responsible for supporting and maintaining cybersecurity platforms, ensuring high availability, operational stability, and effective security monitoring across enterprise environments.</p><br><p><strong>Key Responsibilities:</strong></p><br><ul><li>Provide production support for cybersecurity platforms including SIEM, SOAR, VPN, and security monitoring solutions.</li><li>Monitor cybersecurity platforms, dashboards, alerts, and operational activities.</li><li>Support Splunk SIEM use cases, log ingestion, correlation rules, and performance optimization.</li><li>Manage and maintain SOAR workflows, playbooks, and automation processes.</li><li>Support VPN infrastructure including secure remote access and site-to-site connectivity.</li><li>Perform Incident, Problem, and Change Management activities following ITIL practices.</li><li>Conduct Root Cause Analysis (RCA) for security incidents and platform issues.</li><li>Support Cyber Incident Response activities including investigation and remediation.</li><li>Participate in Disaster Recovery (DR) and Business Continuity Planning (BCP).</li><li>Maintain security documentation, runbooks, SOPs, and operational reports.</li><li>Collaborate with security teams, infrastructure teams, and vendors for issue resolution.</li></ul><p><strong>Requirements:</strong></p><br><ul><li>Bachelor’s degree in Cybersecurity, Information Security, Computer Science, or related field.</li><li>4–8 years of experience in cybersecurity production support within enterprise or financial environments.</li><li>Hands-on experience with:<ul><li>SIEM platforms (Splunk Enterprise / Splunk ES preferred)</li><li>SOAR platforms (Cortex XSOAR, Splunk SOAR, or similar)</li><li>VPN technologies (IPSec / SSL VPN)</li><li>Security monitoring and incident response</li></ul></li><li>Strong understanding of cybersecurity operations, threat detection, and log analysis.</li><li>Experience with ITIL Incident, Problem, and Change Management.</li><li>Knowledge of SAMA Cybersecurity Framework, NCA ECC, PDPL, and NDMO is preferred.</li><li>Basic scripting knowledge (Python, PowerShell, or similar) is preferred.</li></ul> </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>

About UsAbdul Latif Jameel United Finance Company is a closed joint stock company licensed by the Saudi Central Bank (SAMA) to operate in financial leasing, productive assets financing, consumer products financing, and real estate financing. We provide a wide range of financing options for individuals and SMEs, including cash financing, all types of cars, heavy equipment, household and electronic appliances, as well as real estate financing. Our offerings are delivered through various Shariah-compliant financial solutions such as financial leasing, Murabaha, and Tawarruq, accessible via our widespread branch network across the Kingdom. We are committed to supporting entrepreneurs through Bab Rizq Jameel Financing programs and strive to be the leading financing destination for small and medium enterprises.<br>Position title Platform Engineer<br>Position Description Design, implement, and maintain scalable, secure, and high-performing infrastructure platforms to ensure system reliability, availability, and disaster recovery, supporting business-critical applications and services.<br>Key Accountabilities Provide recommendations for infrastructure and server hardware specifications during procurement. Participate in evaluation and selection of servers, storage, and infrastructure solutions. Develop and maintain automation scripts and tools using approved IT automation platforms. Monitor system performance, availability, and security, providing actionable insights. Oversee hardware delivery processes, including inventory control and installation readiness.<br>Key Activities Infrastructure & Platform Management Provision and manage infrastructure components including servers, storage, networking, and cloud environments. Understand data center requirements for hosting infrastructure and ensure proper deployment readiness. Gather and analyze business requirements to define optimal infrastructure specifications and configurations. Installation & Configuration Develop and execute installation and configuration plans for servers and platform components. Perform OS installation, patching, and software configuration aligned with best practices. Execute and validate installation checklists and acceptance testing. Monitoring & Performance Optimization Monitor infrastructure performance and ensure availability, reliability, and capacity planning. Generate and analyze performance reports to recommend upgrades or improvements. Perform performance tuning and optimization of platform components. Security & Compliance Ensure compliance with security standards, policies, and audit requirements. Implement and support access control, system hardening, and vulnerability management. Participate in data center and infrastructure security initiatives. Backup & Disaster Recovery Implement and maintain data backup solutions and disaster recovery processes. Ensure data integrity, backup validation, and recovery readiness. Automation & Efficiency Develop scripts (Power Shell, Bash, Python) to automate deployment, monitoring, and operational tasks. Improve system efficiency and reduce manual intervention through automation. Operations & Support Provide ongoing support for infrastructure systems and resolve incidents. Participate in root cause analysis and preventive action implementation. Documentation & Reporting Maintain accurate documentation of infrastructure configurations and changes. Prepare reports on system performance, incidents, and capacity utilization. Ensure proper documentation for change management and audit compliance. Technical Skills Experience with Windows/Linux Server Administration Knowledge of virtualization platforms (VMware, Hyper-V) Familiarity with cloud platforms (Azure, AWS preferred) Experience in storage systems and backup solutions Proficiency in automation and scripting (Power Shell, Python, Bash) Understanding of networking fundamentals Experience with monitoring tools (e.g., SCOM, Solar Winds, etc.) Knowledge of disaster recovery and high availability concepts<br>Qualifications Bachelor’s degree in Information Technology, Computer Science, or related field<br>Work Experience Minimum 2–4 years of experience in infrastructure engineering, platform engineering, or system administration

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Quality Engineering Lead</p> <p>We are looking for a Software Quality Engineering Lead who is passionate about building quality from the early stages (Shift-Left approach) and driving automation-first testing strategies using modern technologies.</p> <p>The ideal candidate will play a key role in embedding quality practices across the SDLC, ensuring high-quality releases through robust automation frameworks and CI/CD integration.</p> <p> </p> <ul> <li> <span> <span> </span> </span>Lead and implement Shift-Left testing practices across all development phases</li> <li> <span> <span> </span> </span> Design, develop, and maintain scalable test automation frameworks</li> <li> <span> <span> </span> </span> Collaborate with developers, product owners, and DevOps teams to ensure quality is built-in, not tested later</li> <li> <span> <span> </span> </span> Integrate automated tests within CI/CD pipelines to enable continuous testing</li> <li> <span> <span> </span> </span> Perform API, UI, and integration testing using modern tools</li> <li> <span> <span> </span> </span> Analyze test results, identify defects early, and ensure fast feedback loops</li> <li> <span> <span> </span> </span> Drive test data management and environment readiness</li> <li> <span> <span> </span> </span> Contribute to quality metrics, reporting, and continuous improvement initiatives</li> </ul> <p> </p> <p>#LI-DNP</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Quality Engineering Lead</p> <ul> <li>2-4 years of experience in Software Testing / Quality Engineering</li> <li>Strong experience in test automation (e.g., Selenium, Cypress, Playwright, or similar)</li> <li>Solid understanding of Shift-Left testing principles</li> <li>Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps)</li> <li>Experience in API testing (Postman, REST Assured, etc.)</li> <li>Good knowledge of programming/scripting (Java, JavaScript, Python, or similar)</li> <li>Experience working in Agile/Scrum environments</li> <li>Strong analytical and problem-solving skills</li> <li>SQL proficiency and familiarity with APIs and Postman.</li> <li>Excellent communication and problem-solving skills.</li> <li>Ability to participate in penetration testing using Burp Suite or similar tools.</li> </ul> <p>Familiarity with OWASP standards and security best practices.</p> <p> <strong>Preferred Skills:</strong> </p> <ul> <li>Experience in performance testing (JMeter, k6)</li> <li>Knowledge of security testing and penetration testing techniques.</li> <li>Familiarity with cloud environments (Oracle, Azure,)</li> <li>Experience with containerization (Docker, Kubernetes)</li> </ul> <p>#LI-DNP</p><p></p></section>

Job Purpose The Data Analyst is responsible for analyzing, validating, and transforming organizational data into meaningful insights that support strategic, clinical, operational, and financial decision-making. The role ensures high data quality, accuracy, and consistency while enabling data-driven culture across the organization in alignment with the Data Management Office (DMO) frameworks and governance standards. Roles and Responsibilities:Organizational Accountabilities:Analyze large datasets to extract meaningful insights and support hospital operations. Create regular reports and dashboards for all domains in the corporate. Work with stakeholders to understand data needs and translate them into actionable reports. Ensure data accuracy and integrity in all analytical outputs. Support ad-hoc data requests from leadership teams. Deliver accurate, timely, and actionable insights. Ensure compliance with organizational data policies and healthcare regulations. Maintain documentation for reports, dashboards, and analytical models. Continuously improve analytical processes and methodologies. Support enterprise initiatives related to performance management and strategic planning. Functional Accountabilities:Data Analysis & Insights Analyze large and complex datasets from clinical, operational, and financial systems. Identify trends, patterns, risks, and opportunities to support executive decision-making. Perform ad-hoc and recurring analysis as requested by leadership and business units.2. Reporting & Dashboards Design, develop, and maintain dashboards and reports using BI tools (Power BI, Tableau). Ensure reports meet business requirements and are user-friendly. Automate recurring reports to improve efficiency and reduce manual effort.3. Data Quality & Integrity Validate data accuracy, completeness, and consistency across data sources. Identify data quality issues and work with Data Owners and Data Stewards to resolve them. Support implementation of data quality rules and monitoring mechanisms.4. Stakeholder Engagement Gather and document business requirements from clinical, operational, and financial stakeholders. Translate business needs into analytical models and reporting solutions. Act as a bridge between business teams and technical teams.5. Data Governance Support Support DMO initiatives related to data governance, data standards, and metadata. Ensure analytical outputs comply with data governance policies and healthcare regulations. Assist in maintaining data definitions, KPIs catalogs, and business glossaries.6. Advanced Analytics & Enablement Use SQL, Python, or R for advanced analysis when required. Support predictive and descriptive analytics initiatives. Promote data literacy and best practices across the organization.<br><br>Job Qualifications and Requirements:4–10 years of experience in data analytic preferably within the healthcare sector. Strong knowledge of enterprise data architecture frameworks (TOGAF, DAMA-DMBOK). Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) and data platforms. Strong skills in statistical analysis and data visualization. Proficiency in data analysis tools (e.g., Excel, Power BI, Tableau). Certification in Data Analysis (e.g., Microsoft Certified Data Analyst). Proficiency in SQL and statistical software (e.g., R, Python). Familiarity with healthcare data standards and reporting requirements. Education and Certifications:Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (required). TOGAF Certified (Enterprise Architecture) (highly desirable). CDMP (Certified Data Management Professional) (preferred). Skills:Proven expertise in healthcare and government sectors, with strategic planning capabilities. Strong skills in communication, mediation, and conflict resolution. Deep understanding of data architecture, analysis, and visualization. Excellent administrative and organizational skills. Good communication skills in Arabic and English (verbal and written). Strong proficiency in Microsoft Office (Word, Excel, Power Point, Outlook). Ability to prepare clear reports, meeting minutes, and maintain accurate records. Attitude:Strong Work Ethic Dependability and Responsibility Possessing a Positive Attitude Adaptability Honesty and Integrity Self-Motivated Motivated to Grow and Learn Strong Self-Confidence

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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 &amp; Risk Mitigation: Investigate, analyze, and remediate cloud security incidents, proactively identifying and mitigating vulnerabilities within AWS environments.</li><li>Secure Cloud Strategy &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; Performance Optimization: Conduct proactive system hardening, vulnerability remediation, performance tuning, and capacity planning across cloud environments.</li><li>Automation &amp; 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 &amp; 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 &amp; 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a highly skilled and experienced L2 Data Engineer to join our growing Data &amp; Analytics team.<br> In this role, you will lead the design, development, optimization, and maintenance of scalable enterprise data platforms and cloud-native data solutions.<br> You will work closely with architects, analysts, and business stakeholders to build high-performance data pipelines and modern lakehouse solutions that support advanced analytics, reporting, and data-driven decision-making.<br> This opportunity is ideal for a senior data professional with strong hands-on expertise in Databricks and the Microsoft Azure ecosystem, who is passionate about building reliable, scalable, and optimized data platforms in enterprise environments.<br> KEY RESPONSIBILITIES • Design, develop, and optimize enterprise-scale data pipelines and ETL/ELT workflows using Azure and Databricks technologies.<br> • Architect and implement scalable data ingestion, transformation, and orchestration processes using Azure Data Factory, Databricks, and Azure Synapse Analytics.<br> • Develop high-performance data transformation frameworks using PySpark, Python, and Spark SQL for large-scale distributed data processing.<br> • Optimize SQL queries, Spark jobs, and data workflows to improve performance, scalability, and cost efficiency.<br> • Lead data migration initiatives, including SQL Server migrations and modernization of legacy data platforms.<br> • Implement and maintain Delta Lake architecture, incremental data loading strategies, and enterprise data lake best practices.<br> • Collaborate with architects and cross-functional teams to design robust and scalable data models aligned with business and governance standards.<br> • Monitor and troubleshoot production pipelines, perform root-cause analysis, and implement preventive measures for recurring issues.<br> • Support CI/CD implementation and infrastructure automation for data engineering workflows.<br> • Mentor junior engineers and contribute to engineering standards, reusable frameworks, and technical best practices.<br> • Create and maintain technical documentation including architecture diagrams, pipeline documentation, and operational runbooks.<br> • Evaluate and recommend modern data engineering tools, frameworks, and optimization strategies.<br> 5+ years of professional experience in Data Engineering or related roles.<br> • Strong expertise in Python for enterprise data processing, transformation, and automation.<br> • Advanced hands-on experience with Pandas, PySpark, and Spark SQL for large-scale distributed processing.<br> • Strong experience with Databricks, including cluster management, notebook development, workflow orchestration, Delta Lake, and performance optimization.<br> • Extensive experience building and managing enterprise data pipelines using Azure Data Factory.<br> • Strong working knowledge of Azure Synapse Analytics, particularly Spark pool integration and enterprise data warehousing concepts.<br> • Advanced SQL skills including query optimization, performance tuning, indexing strategies, and troubleshooting.<br> • Strong understanding of data lake architecture, Delta Lake, incremental processing, partitioning, and lakehouse concepts.<br> • Experience implementing data governance, security, access controls, and monitoring within cloud data platforms.<br> • Experience handling production support, troubleshooting, and optimization of enterprise data platforms.<br> NICE TO HAVE • Experience with Terraform for Azure infrastructure provisioning and Infrastructure-as-Code (IaC).<br> • Experience implementing CI/CD pipelines for data engineering deployments.<br> • Exposure to Lakehouse Federation, Delta Sharing, and modern data sharing architectures.<br> • Experience with streaming and near real-time data processing solutions.<br> • Knowledge of DevOps practices and cloud cost optimization strategies.<br> CERTIFICATION REQUIREMENT Candidates are expected to hold or be actively working toward the Databricks Certified Data Engineer Professional certification.<br> This certification validates advanced expertise across the following domains: • Advanced ETL and ELT development using Spark SQL and PySpark • Enterprise-grade pipeline orchestration and optimization • Data modeling and scalable lakehouse architecture • Performance tuning and distributed data processing optimization • Advanced data governance and security implementation • Production-grade data engineering practices within the Databricks ecosystem</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 &amp; Responsibilities</p><div class="paragraph"><p>About the Role 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. Key Responsibilities AI &amp; Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps &amp; AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud &amp; Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering &amp; Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence &amp; Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents &amp; Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring &amp; Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers &amp; DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description</p><p>Senior BIM Consultant based in Riyadh, Saudi Arabia, supporting the delivery of a major client portfolio of large-scale development and infrastructure projects. The role is expected effectively contribute to the overall BIM strategy, information management, digital delivery governance, and stakeholder engagement across the programme, ensuring alignment with client requirements, industry best practices, and project objectives. The candidate is expected to be able to provide technical leadership for BIM implementation, asset information management, data integration, reporting, and supply-chain compliance while driving innovation, collaboration, and continuous improvement throughout the project lifecycle.</p><p>Skills and qualifications required</p><ul><li>Extensive experience leading the implementation, governance, and delivery of BIM across large-scale development and infrastructure programmes, including oversight, assurance, and guidance of Project Management Consultants (PMCs), designers, and contractors throughout the project lifecycle.</li><li>Proven expertise in managing and maintaining federated BIM environments for complex programmes using platforms such as Revizto, Autodesk Forma.</li><li>Strong capability in developing BIM reporting frameworks, managing complex data environments, and delivering customized dashboards, user interfaces, and digital solutions tailored to client and stakeholder requirements.</li><li>Extensive experience in coordinating, tracking, and resolving asset and infrastructure interface issues through advanced BIM collaboration platforms, including Revizto and similar issue-management systems.</li><li>In-depth knowledge of BIM for Asset Information, including validation and review of asset data in compliance with COBie standards, Asset Information Requirements (AIR), and BIM-to-asset register integration processes.</li><li>Competency in automation, scripting, and data analytics using programming languages such as Python, C#, and related technologies, as well as visual programming tools including Dynamo, to automate workflows, retrieve data through APIs, and develop Power BI reporting solutions.</li><li>Extensive experience in authoring, implementing, and maintaining BIM documentation, including BIM Execution Plans (BEPs), BIM Management Plans, Information Management Protocols, QA/QC procedures, audit frameworks, and compliance strategies aligned with industry standards and client requirements.</li><li>Good understanding of BIM visualization technologies, immersive digital solutions, and virtual environments using tools such as Unreal Engine, Unity, VR/AR platforms, and digital twin technologies.</li><li>Proven experience developing and maintaining Employer s Information Requirements (EIR), Asset Information Requirements (AIR), quality management frameworks, and BIM governance standards.</li><li>Lead BIM strategy development, programme-wide coordination meetings, progress reviews, and stakeholder engagement initiatives to ensure successful BIM implementation and project delivery.</li><li>Identify BIM-related risks, assess their impact on project objectives, and develop effective mitigation and governance strategies.</li><li>Collaborate closely with clients, consultants, design teams, and contractors to drive BIM adoption and ensure alignment with project objectives, industry best practices, and organizational digital transformation goals.</li><li>Prepare detailed technical reports, assessments, and presentations in accordance with corporate documentation standards and project governance requirements.</li><li>Develop BIM capability assessment frameworks, supply-chain evaluation criteria, and tender documentation requirements, while leading BIM-related activities throughout procurement and tendering processes.</li><li>Support research, innovation, and continuous improvement initiatives by evaluating emerging BIM technologies, digital engineering solutions, and industry trends.</li><li>Demonstrate excellent communication, stakeholder management, and interpersonal skills, with the ability to engage effectively across multidisciplinary teams and organizational levels.</li><li>Possess strong presentation and facilitation skills, with the ability to communicate complex BIM and digital engineering concepts clearly to technical and non-technical audiences.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in engineering or a related built environment discipline.</li><li>Minimum 13 years of experience in BIM, Digital Delivery, or Information Management roles.</li><li>Proven experience managing PMCs, contractors, and consultants across large-scale programmes.</li><li>Advanced Proficiency in Power BI and other reporting and analytics platforms.</li><li>Advanced proficiency in Revizto and Autodesk Construction Cloud (ACC).</li><li>Strong knowledge of automation, digital innovation, and programming tools, including Python, C#, and related technologies (highly desirable).</li><li>Experience with visualization, XR, and immersive technologies, including Unreal Engine and Unity (highly desirable).</li><li>Comprehensive knowledge of ISO 19650 and related international BIM and information management standards.</li><li>Proven experience in BIM-based site-wide interface coordination and issue management on major projects.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span ><b>What You Will Build</b></span></div><div><span >➤ Production AI agents using Microsoft Foundry Agent Service: multi-agent workflows, hosted agents, memory, observability, identity integration, secure endpoints, and deployment</span></div><div><span ><br></span></div><div><span >➤ Knowledge-grounded experiences using Azure AI Search and retrieval-augmented generation, including vectors, keyword-searchable, hybrid, semantic-ranking and enterprise-permissioned retrieval (When do we need vectorization and when we don’t, when to create handovers between agents, when to rely on the model’s context window, when to finetune and when to use RAG)</span></div><div><span ><br></span></div><div><span >➤ Deterministic, source-grounded extraction: pipelines that pull figures and facts straight from documents without hallucinating, attaching citations, provenance and uncertainty flags to every claim so outputs are auditable</span></div><div><span ><br></span></div><div><span >➤ Tool-using agents that execute secure actions through Model Context Protocol (MCP), Azure Logic Apps, Azure Functions, and custom APIs</span></div><div><span ><br></span></div><div><span >➤ Model-optimized applications using Foundry Models and the model router, balancing quality, latency, and cost</span></div><div><span ><br></span></div><div><span >➤ Enterprise-safe systems with prompt shielding, grounded Ness checks, and content-safety enforcement</span></div><div><span ><br></span></div><div><span >➤ Reusable reference agents, connectors, and evaluation templates that ship into our UseCaseLibrary and accelerate delivery across the region</span></div><div><span ><br></span></div><div><span >What You Will Do</span></div><div><span >➤ Translate business opportunities into robust, production-ready agent architectures</span></div><div><span >➤ Build pro-code AI agents using Python (FastAPI, Streamlit, Scraping, Serialization, etc..), .NET React.js with the Microsoft Agent Framework (Knowing Langgraph/Langchain/Semantic Kernel is an edge)</span></div><div><span >➤ Lead the design of multi-agent orchestration and agentic design patterns, including planning, routing, and human-in-the-loop patterns, on the team's most complex builds (understanding distributed systems is a plus)</span></div><div><span >➤ Review architecture and delivery plans from other AI Engineers before build starts, and act as a technical escalation point during delivery</span></div><div><span >➤ Design and maintain the delivery lifecycle for agents already in production — evaluation, telemetry, logging, safety, and CI/CD pipelines — using GitHub Actions and pipeline YAML, with infrastructure-as-code (Bicep or Terraform) a plus</span></div><div><span >➤ Familiarity with networking concepts — VNets, subnets, private endpoints (and private DNS), NSGs, and firewall / allow listing — for deploying AI services securely inside an enterprise tenant.</span></div><div><span >➤ Familiarity with data engineering and pre-processing — parsing, cleaning, normalization, deduplication and schema creation and engineering/validation (for quantitative and qualitative metrics) — so the data feeding agents and retrieval is clean, typed and reliable.</span></div><div><span >➤ Understanding model capabilities, benchmarks and limitations — and how to work around them: training-data knowledge cut-off, prompt-injection, context and harness engineering, retrieval grounding, and fine-tuning.</span></div><div><span >➤ Set and maintain the reference patterns and reusable components other engineers build from</span></div><div><span >➤ Mentor AI Engineers, including colleagues moving into the role through our internal upskilling path</span></div><div><span >➤ Support presales and customer proposals with technical input on feasibility and solution design</span></div><div><span ><br></span></div><div><span >What You Bring</span></div><div><span >➤ Significant hands-on experience building production AI agents or AI-infused applications, not just prototypes</span></div><div><span >➤ Strong software engineering skills in Python or .NET, including modern cloud-integration patterns</span></div><div><span >➤ Hands-on experience with Microsoft Foundry: projects, SDKs, models, the model router, hosted agents, and Foundry tools</span></div><div><span >➤ Demonstrable experience building complete agentic workflows in Foundry Agent Service, including tool invocation and deployment</span></div><div><span >➤ Deep understanding of Azure AI Search and retrieval-augmented generation patterns, including vector, hybrid, and multimodal retrieval</span></div><div><span >➤ Practical experience implementing AI safety features: prompt shields, grounded Ness checks, and sensitive-content filters</span></div><div><span >➤ Experience with Azure Logic Apps, Azure Functions, Model Context Protocol (MCP) tools, and secure enterprise integrations</span></div><div><span >➤ Strong understanding of Microsoft Entra ID and enterprise governance best practice</span></div><div><span >➤ Experence reviewing other engineers' technical work and giving direct, constructive feedback</span></div><div><span >➤ Daily proficiency with GitHub Copilot, including effective use of GitHub Copilot Chat in real development work</span></div><div><span >➤ Comfort with CI/CD pipelines, telemetry, evaluation metrics, and iterative delivery</span></div><div><span >➤ Backend and streaming services: designing and operating asynchronous APIs (FastAPI/ASGI, or ASP.NET) with streaming responses, middleware, and clean configuration and secrets handling</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>NA</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li></ul><p></p></section>

In a world of possibilities, pursue one with endless opportunities. Imagine Next!<p> </p>At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.<p> </p> <p> </p> <p> <u> <b>Job Description:</b> </u> </p> <p>Parsons is looking for an amazingly talented <b>Project Controls Data Analyst</b> to join our team! In this role you will integrates the various engineering, scope, budget, scheduling, procurement, construction, and start-up aspects of a small project. May manage a subtask of a larger project or study in accordance with contractual obligations. Responsible for the technical excellence of the engineering functions of the project including coordination of technical disciplines, procurement of materials and equipment, and construction planning assistance. Relocation to the project site may be required during construction and start-up activities.</p> <p> </p> <p> <b>What You'll Be Doing:</b> </p> <p> </p> <p> <b>Reporting &amp; Dashboard Development</b> </p> <ul> <li> <p>Design, develop, and maintain interactive dashboards and reporting solutions using Power BI.</p> </li> <li> <p>Automate recurring project controls reports and performance metrics.</p> </li> <li> <p>Produce executive-level reports highlighting project status.</p> </li> <li> <p>Develop standardized KPIs for program and portfolio reporting.</p> </li> </ul> <p> </p> <p> <b>Schedule &amp; Cost Analytics</b> </p> <ul> <li> <p>Analyze progress trends.</p> </li> <li> <p>Support earned value management (EVM) reporting and analysis.</p> </li> <li> <p>Provide forecasting support.</p> </li> </ul> <p> </p> <p> <b>Business Intelligence &amp; Decision Support</b> </p> <ul> <li> <p>Transform complex datasets into actionable insights for project leadership.</p> </li> <li> <p>Identify trends, risks, opportunities, and performance improvement areas.</p> </li> </ul> <p> </p> <p> <b>Process Improvement &amp; Automation</b> </p> <ul> <li> <p>Develop automated data extraction, transformation, and reporting solutions.</p> </li> <li> <p>Utilize technology (Python and SQL) to streamline data processing and reporting workflows.</p> </li> <li> <p>Improve reporting efficiency through digital tools and innovative analytical techniques.</p> </li> <li> <p>Support digital transformation initiatives within Project Controls.</p> </li> </ul> <p> </p> <p> <b>What Required Skills You'll Bring:</b> </p> <ul> <li> <p>Bachelor s degree in information systems, Data Analytics, Computer Science, Statistics, or a related field.</p> </li> <li> <p>3 7 years of experience in project controls, data analytics, business intelligence, or a related discipline.</p> </li> <li> <p>Experience supporting large-scale construction, infrastructure, engineering, or capital projects is preferred.</p> </li> <li> <p>Experience developing Power BI dashboards and managing project performance reporting.</p> </li> </ul> <p> <br> <b>What Desired Skills You'll Bring:</b> </p> <ul> <li> <p>Tools &amp; Systems</p> </li> <li> <p>Power BI</p> </li> <li> <p>Microsoft Excel</p> </li> <li> <p>Primavera P6</p> </li> <li> <p>Microsoft Project</p> </li> <li> <p>SQL</p> </li> <li> <p>Python</p> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p> </p> <p> </p> <p>We truly invest and care about our employee s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest APPLY TODAY!</p> <p> </p> <p> </p> <p>Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to<span> </span> <span>https://www.parsons.com/fraudulent-recruitment/</span> .</p>

<p>We are looking for a detail-oriented and technically skilled Draftsman to join our HD Maps Production team focused on autonomous driving technologies. In this role, you will contribute to building and maintaining high-definition (HD) maps that serve as the foundation for autonomous vehicle perception, localization, and navigation systems. You will work closely with engineers, GIS specialists, and data analysts to transform geospatial and sensor data into highly accurate and structured digital map layers.</p><p><strong>Duties, Tasks and Responsibilities:</strong></p><ul><li>Create, edit, and maintain HD map data layers from point clouds data.</li><li>Perform precise drafting and feature annotation following autonomous driving map standards and specifications.</li><li>Ensure geometric accuracy, spatial alignment, and attribute consistency across all map datasets.</li><li>Collaborate with mapping engineers and software teams to validate and integrate HD map data into production pipelines.</li><li>Conduct quality control and assurance checks to maintain data accuracy and compliance with internal standards.</li><li>Work with AutoCAD, GIS tools, and 3D visualization software to represent road networks, lane markings, traffic signs, and other critical road features.</li><li>Document and maintain detailed records of production progress and workflow updates.</li><li>Support the development and optimization of mapping templates, tools, and automated workflows.</li></ul><p><strong>Job Requirements:</strong></p><ul><li>Diploma or bachelor s degree in civil engineering, Architecture, Geomatics, GIS, Surveying, or a related field.</li><li>Proven experience as a Draftsman, CAD Technician, or GIS Operator (experience in mapping or transportation projects preferred).</li><li>Proficiency in AutoCAD, MicroStation, or equivalent CAD platforms.</li><li>Basic understanding of GIS principles and geospatial data formats such as shapefiles, GeoJSON, and LAS.</li><li>Familiarity with LiDAR data, 3D modeling, or HD map production workflows.</li><li>Excellent attention to detail, accuracy, and organizational skills.</li><li>Strong teamwork, communication, and problem-solving abilities.</li></ul><p><strong>Nice to have skills</strong></p><ul><li>Experience with QGIS, ArcGIS, or other geospatial analysis tools.</li><li>Knowledge of HD map standards for autonomous driving, including ADAS, localization, and semantic mapping.</li><li>Experience with Python or automation scripting for data processing is a plus.</li><li>Understanding of coordinate systems, projections, and georeferencing techniques.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Diploma or bachelor s degree in civil engineering, Architecture, Geomatics, GIS, Surveying, or a related field.</li><li>Proven experience as a Draftsman, CAD Technician, or GIS Operator (experience in mapping or transportation projects preferred).</li><li>Proficiency in AutoCAD, MicroStation, or equivalent CAD platforms.</li><li>Basic understanding of GIS principles and geospatial data formats such as shapefiles, GeoJSON, and LAS.</li><li>Familiarity with LiDAR data, 3D modeling, or HD map production workflows.</li><li>Excellent attention to detail, accuracy, and organizational skills.</li><li>Strong teamwork, communication, and problem-solving abilities.</li><li>Experience with QGIS, ArcGIS, or other geospatial analysis tools.</li><li>Knowledge of HD map standards for autonomous driving, including ADAS, localization, and semantic mapping.</li><li>Experience with Python or automation scripting for data processing is a plus.</li><li>Understanding of coordinate systems, projections, and georeferencing techniques.</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Qualcomm and the Opportunity</h3> <p style="margin:0 0 12px; ************;">Qualcomm is expanding its presence in Riyadh, Saudi Arabia, to bolster its infrastructure across the region. As Saudi Arabia progresses with its digital transformation under Vision 2030, Qualcomm is investing in advanced computing and data centre capabilities to support AI, cloud technologies, and scalable advanced connectivity. This presents an opportunity to contribute to a rapidly growing technology hub. We are seeking a <strong style="font-weight:700;">Machine Learning Engineer Staff level</strong> for our Datacentre AI Engineering team in a full-time capacity in Riyadh.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">The Staff-level ML Applications Engineer will operate with a high degree of autonomy, defining technical goals and scope for assigned problem areas. This role involves leading development efforts from conception through execution, requiring extensive hands-on experience in C++/Python-based AI development within a Linux environment. The successful candidate will demonstrate strong analytical skills, foster effective cross-team collaboration, and mentor other engineers through practical example, maintaining a hands-on, execution-focused approach.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Improve and optimize key Deep Learning models on Qualcomm AI 100.</li> <li style="margin:0 0 6px;">Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li> <li style="margin:0 0 6px;">Collaborate with internal teams to analyze and optimize training and inference for deep learning.</li> <li style="margin:0 0 6px;">Develop software tools and an ecosystem around the AI SW Stack.</li> <li style="margin:0 0 6px;">Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators.</li> <li style="margin:0 0 6px;">Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li> <li style="margin:0 0 6px;">Optimize the entire deep learning pipeline, including graph compiler integration.</li> <li style="margin:0 0 6px;">Apply knowledge of software engineering best practices.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">5-10 years of professional experience in a relevant engineering role, specifically in AI development.</li> <li style="margin:0 0 6px;">Extensive hands-on experience in C++/Python-based AI development within a Linux environment.</li> <li style="margin:0 0 6px;">Demonstrated ability to define technical goals, scope problem areas, and lead development efforts from conception through execution.</li> <li style="margin:0 0 6px;">Strong analytical skills and a proven ability to collaborate effectively across teams.</li> <li style="margin:0 0 6px;">Experience mentoring and guiding other engineers through practical example.</li> <li style="margin:0 0 6px;">Proficiency with Deep Learning models, frameworks, and optimization techniques.</li> <li style="margin:0 0 6px;">Familiarity with open-source contributions and building software ecosystems around AI stacks.</li> <li style="margin:0 0 6px;">Knowledge of inference accelerators and related technologies such as Triton, ExecuTorch, Inductor, and TorchDynamo.</li> <li style="margin:0 0 6px;">Understanding of workload optimization for multi-SoC and multi-card systems, and deep learning pipeline optimization including graph compiler integration.</li> <li style="margin:0 0 6px;">Adherence to software engineering best practices.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation Structure</h3> <p style="margin:0 0 12px; ************;">The compensation package for this full-time position includes a competitive salary, housing and transport allowances, Stock (RSU's), and a performance-related bonus.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Join Our Team</h3> <p style="margin:0 0 12px; ************;">This role offers an opportunity to contribute to the advancement of AI and data centre capabilities within a global technology leader. We invite qualified candidates to apply.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Agoda and the Role</h3> <p style="margin:0 0 12px; ************;">Agoda, a part of Booking Holdings [NASDAQ: BKNG], is a global travel platform connecting people to destinations and experiences worldwide. With a diverse team operating in offices globally, Agoda leverages technology and data to enhance travel for millions. We are seeking a <strong style="font-weight:700;">Senior/Staff Endpoint Systems Engineer</strong> to join our full-time team based in Bangkok. This role is critical for maintaining and improving end-user experience through advanced engineering and technical ownership.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">This position operates within a high-impact, fast-paced engineering environment, focusing on innovation and deep technical expertise. The Senior/Staff Endpoint Systems Engineer serves as the final technical escalation point for complex, high-impact issues across endpoint systems and infrastructure. The role involves driving root cause analysis, collaborating with internal teams and vendors, and implementing lasting solutions to challenging problems.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Act as the highest escalation point for unresolved 1st- and 2nd-level support cases.</li> <li style="margin:0 0 6px;">Perform deep technical troubleshooting for complex OS and hardware issues, including Windows BSODs, driver issues, and hardware failures.</li> <li style="margin:0 0 6px;">Conduct root cause analysis to ensure findings lead to long-term fixes, standards, or automation.</li> <li style="margin:0 0 6px;">Manage and troubleshoot devices using enterprise tooling such as Intune, Configuration Manager, KACE, JAMF, and Altiris.</li> <li style="margin:0 0 6px;">Design and maintain robust deployment, patching, compliance, and security baselines for Windows fleets.</li> <li style="margin:0 0 6px;">Monitor endpoint health and performance using custom platforms, proactively identifying trends and systemic risks.</li> <li style="margin:0 0 6px;">Develop automation and remediation solutions using scripting languages like PowerShell, Python, or Bash.</li> <li style="margin:0 0 6px;">Mentor and coach 1st- and 2nd-level teams, providing guidance during outages and high-severity incidents.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li> <li style="margin:0 0 6px;">Minimum of <strong style="font-weight:700;">5 years of hands-on experience</strong> supporting and engineering desktop and endpoint infrastructure.</li> <li style="margin:0 0 6px;">Proven experience operating as a 3rd level escalation engineer.</li> <li style="margin:0 0 6px;">Strong expertise in Windows internals within corporate environments and advanced OS troubleshooting (BSODs, drivers, updates, performance issues).</li> <li style="margin:0 0 6px;">Proficiency with Enterprise Endpoint Management platforms such as Intune, ConfigMgr, KACE, or Altiris.</li> <li style="margin:0 0 6px;">Excellent analytical, communication, and stakeholder management skills.</li> <li style="margin:0 0 6px;">Demonstrated strong sense of ownership, accountability, and customer focus.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Microsoft 365 Certified: Endpoint Administrator Associate (MD102).</li> <li style="margin:0 0 6px;">Experience querying and analyzing data using SQL, PromQL, or LogQL.</li> <li style="margin:0 0 6px;">Advanced scripting skills, particularly with PowerShell, Python, or Bash.</li> <li style="margin:0 0 6px;">Experience building or enhancing endpoint reliability or telemetry platforms (*, Grafana, Telegraf, Open Telemetry Collector).</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Working at Agoda</h3> <p style="margin:0 0 12px; ************;">Joining Agoda means working on global-scale endpoint environments where your contributions have direct impact. This role offers the opportunity to operate as a true L3 engineering authority, influencing tooling, standards, automation, and architectural decisions. You will collaborate with engineers in a diverse, international environment, contributing to a highly resilient IT infrastructure.</p>

Job Summary:<br> Maharah Human Resources Company is seeking a skilled Artificial Intelligence Engineer to design, develop, and implement AI-based solutions to enhance business processes and products. The ideal candidate will have a strong background in machine learning, data analysis, and software development, with the ability to translate complex data into actionable insights. Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve real-world problems Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions Conduct research and stay updated with the latest advancements in AI and machine learning Analyze large datasets to extract meaningful patterns and insights Optimize existing AI models for performance and scalability Write clean, efficient, and well-documented code Ensure AI systems comply with ethical guidelines and data privacy standards <br><br>Requirements<br><br> Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field Proven experience in AI/ML development and deployment Strong programming skills in Python, R, or similar languages Familiarity with machine learning frameworks such as Tensor Flow, PyTorch, or Keras Experience with data preprocessing, feature engineering, and model evaluation Good understanding of algorithms, statistics, and data structures Strong problem-solving skills and analytical mindset Ability to work collaboratively in a team-oriented environment

About the job: <br><br>The QA Analyst plays a critical role in executing and automating functional and non-functional testing for Generative AI-driven applications. This role ensures AI models, APIs, and user interfaces are reliable, scalable, and secure by implementing robust test cases and automation frameworks.<br><br>Technical Skills:<br><br>3–5 years of experience in quality assurance, with a focus on functional and integration testing. Proficiency in test automation tools (Robotics Frameworks, Selenium, Cypress) and API testing (Postman, Soap UI). Python working experience is a Must. LLM evaluation is a plus. Strong knowledge of AI model validation techniques and data integrity testing. Familiarity with performance testing tools (e.g., JMeter) and security best practices. Experience working in agile environments with CI/CD pipeline integration. Strong analytical skills with attention to detail in test execution and reporting. <br><br>Halian Group: With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.<br><br>Senior QA Analyst in Dammam, Saudi Arabia

<p>Job Description: Senior Developer (Vue.js) Position Overview We are seeking an experienced Senior Developer (Vue.js) to design, develop, and deliver scalable, high-performance web applications. The ideal candidate will have strong expertise in Vue.js , modern software development practices, and backend technologies. This role requires close collaboration with cross-functional teams, mentoring junior developers, and contributing to the architecture and continuous improvement of our applications. Key Responsibilities Design, develop, test, and maintain scalable and secure web applications. Build responsive, high-performance user interfaces using Vue.js . Translate business requirements into technical solutions and system designs. Develop and integrate RESTful APIs with frontend applications. Optimize application performance, scalability, and maintainability. Conduct code reviews and ensure adherence to coding standards and best practices. Mentor junior developers and provide technical guidance. Collaborate with Product, QA, UX/UI, and DevOps teams throughout the development lifecycle. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives. Contribute to CI/CD pipelines, deployment processes, and continuous improvement initiatives. Evaluate and adopt new technologies, frameworks, and development tools where appropriate.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Information Technology, or a related field. Proven experience as a Senior Software Developer or in a similar role. Strong hands-on experience with Vue.js (Must Have). Proficiency in one or more programming languages such as Java, C#, Python, JavaScript, or TypeScript . Experience with modern development frameworks and technologies such as .NET, Spring Boot, React, Angular, or Node.js . Solid understanding of software development methodologies including Agile, Scrum, or Kanban . Experience working with SQL and/or NoSQL databases. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) . Experience with version control systems such as Git or SVN . Good understanding of CI/CD pipelines , DevOps practices, and automated deployment processes. Strong experience designing, developing, and consuming RESTful APIs . Demonstrated ability to conduct code reviews and mentor development team members. Excellent analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with microservices architecture. Knowledge of containerization technologies such as Docker and Kubernetes. Familiarity with automated testing frameworks and best practices. Experience working in enterprise-scale application development environments. Skills Required: Proficiency in one or more programming languages (e.g., Java, C#, Python, JavaScript, TypeScript) Hands-on experience with modern frameworks and libraries (e.g., .NET, Spring, React, Angular, Node.js) Strong understanding of software development methodologies (Agile, Scrum, or Kanban) Experience with databases (SQL and/or NoSQL) Familiarity with cloud platforms (AWS, Azure, or GCP) Expertise in version control systems (Git, SVN) Solid understanding of CI/CD pipelines and DevOps concepts Experience in designing and consuming RESTful APIs Ability to perform code reviews and mentor team members Strong analytical and problem-solving skills Excellent communication and teamwork abilities</p>

<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p><p>What this opportunity involves Frontier coding agents are already good at passing tests. We measure whether they pass them the right way .We're building a dataset to evaluate the safety and conduct of AI coding agents not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:</p><p>Build realistic developer environments a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</p><p>Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes</p><p>Write tests that verify whether the agent completed the task the right way catching corners cut, not just checking outputs</p><p>Iterate on tasks and tests based on QA feedback review agent solutions, analyze failures, and refine until the evaluation is fair and robust</p><p>What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists; Not writing code from scratch the agent writes most of the code; you design the situation and evaluate the outcome;</p><p><b>What we look for</b></p><p><b>4 5+ years in software d</b>evelopment;</p><p>Core stack: Python, JavaScript/TypeScript;</p><p>Strong test design skills functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;</p><p>Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);</p><p>Familiarity with GitHub PRs and CI workflows as a user;</p><p>Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful but you don't need to be an expert in every layer;</p><p>English proficiency B2+</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>4 5+ years in software development;</p><p>Core stack: Python, JavaScript/TypeScript;</p><p>Strong test design skills functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;</p><p>Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);</p><p>Familiarity with GitHub PRs and CI workflows as a user;</p><p>Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful but you don't need to be an expert in every layer;</p><p>English proficiency B2+</p>

About the job: The QA Analyst plays a critical role in executing and automating functional and non-functional testing for Generative AI-driven applications. This role ensures AI models, APIs, and user interfaces are reliable, scalable, and secure by implementing robust test cases and automation frameworks.<br>Technical Skills:3–5 years of experience in quality assurance, with a focus on functional and integration testing. Proficiency in test automation tools (Robotics Frameworks, Selenium, Cypress) and API testing (Postman, Soap UI). Python working experience is a Must. LLM evaluation is a plus. Strong knowledge of AI model validation techniques and data integrity testing. Familiarity with performance testing tools (e.g., JMeter) and security best practices. Experience working in agile environments with CI/CD pipeline integration. Strong analytical skills with attention to detail in test execution and reporting.<br>Halian Group: With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together. Senior QA Analyst in Dammam, Saudi Arabia