Python Developer Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b> In Your First Month, You'll </b></p> <ul> <li>Learn the supported solution, customer context, and how our L1/L2/L3 support model works</li> <li>Shadow ticket handling, environment checks, and incident troubleshooting in real production setups</li> <li>Get onboarded into our tooling and documentation (Freshdesk, Jira, Confluence, monitoring/log platforms)</li> </ul> <p> As You Settle Into the Role, You'll </p> <ul> <li>Own customer tickets end-to-end: triage, investigation, updates, and resolution within SLA</li> <li>Troubleshoot using logs, system behavior, and structured reproduction; escalate to L2/L3 when needed</li> <li>Coordinate with HQ and local stakeholders during incidents (Support team, System Engineers, Solution Delivery Managers, ...)</li> </ul> <p><b> Within Your First Year, You'll </b></p> <ul> <li>Resolve standard incidents independently and consistently according to the support process</li> <li>Contribute to knowledge base and ticket hygiene (clear steps, root cause notes, reproducible findings)</li> <li>Support stability: help minimize downtime through proactive checks, clean escalations, and follow-through</li> </ul> <p> What You'll Be Responsible For </p> <ul> <li>Ticket ownership: analyze incidents, request missing info, reproduce issues, propose resolution steps</li> <li>Customer communication: keep tickets up to date, communicate progress clearly via portal/email/calls</li> <li>Operational support: monitoring, coordinating patches/changes in the customer environment, and supporting troubleshooting sessions</li> <li>Escalations &amp; collaboration: involve System Engineers / Solution Delivery Managers / Engineering when needed, track progress</li> <li>On-call participation: active participation in 24/7 on-call rotations as part of this dedicated customer engagement</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> <strong>Languages</strong> </p> <ul> <li>Arabic (professional spoken and written) required</li> <li>English (professional spoken and written) required</li> </ul> <p> <strong>Skills &amp; Mindset</strong> </p> <ul> <li>Strong ownership, structured troubleshooting, and attention to detail</li> <li>Comfortable communicating with customers under time pressure (SLA-driven)</li> <li>Reliable and able to work independently, while escalating early when needed</li> </ul> <p> <strong>Technical Requirements</strong> </p> <p> <strong>Must-have:</strong> </p> <ul> <li>Linux administration experience in production environments</li> <li>Kubernetes fundamentals ability to work with pods/services, collect and analyze logs, perform basic troubleshooting</li> <li>Ability to read logs and identify likely triggers and root causes</li> <li>Experience working in a ticket-based support environment (internal or external)</li> </ul> <p> <strong>Nice-to-have:</strong> </p> <ul> <li>Helm (basic usage or understanding)</li> <li>Databases: PostgreSQL / MSSQL / Oracle (connectivity checks, basic queries)</li> <li>Networking fundamentals (DNS, ports, firewalls, connectivity troubleshooting)</li> <li>Monitoring &amp; logging tools: Grafana, ELK (or similar)</li> <li>Messaging services exposure</li> <li>Scripting / automation basics (Bash, Python, or similar)</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br></p><p>Job Summary</p><p>The ERP &amp; IT Systems Specialist is responsible for managing the company's IT infrastructure, providing technical support to employees, maintaining hardware and software systems, and administering, customizing, and supporting the Odoo ERP system. The role combines IT operations, system development, ERP administration, and business process automation to ensure efficient, secure, and reliable technology services across the organization.</p><p><br></p><p>Key Responsibilities</p><p>1. Odoo ERP Management</p><ul><li>Administer, maintain, and support the Odoo ERP system.</li><li>Configure and customize Odoo modules based on business requirements.</li><li>Develop reports, workflows, dashboards, and automation within Odoo.</li><li>Troubleshoot and resolve Odoo-related issues.</li><li>Liaise with the ERP vendor and implementation partners to coordinate system development, issue resolution, module enhancements, user requirements, upgrades, and ongoing technical support.</li><li>Train users and provide ongoing support for Odoo modules.</li><li>Manage user roles, permissions, and security settings.</li><li>Monitor system performance and recommend improvements to optimize business processes.</li></ul><p>2. Programming &amp; System Development</p><ul><li>Develop and maintain custom applications, integrations, and automation tools.</li><li>Create APIs and integrations between Odoo and third-party systems.</li><li>Analyze business requirements and develop technical solutions.</li><li>Test, deploy, and maintain software applications.</li><li>Maintain technical documentation for developed systems, integrations, and processes.</li></ul><p>3. IT Infrastructure &amp; Technical Support</p><ul><li>Provide technical support to employees and departments.</li><li>Manage computers, printers, biometric devices, IP phones, and networking equipment.</li><li>Install, configure, and maintain hardware and software.</li><li>Monitor system performance and ensure data security.</li><li>Manage backups, disaster recovery procedures, and cybersecurity measures.</li><li>Troubleshoot network, internet, email, and system-related issues.</li></ul><p>4. Systems Administration</p><ul><li>Manage company servers, cloud services, and business applications.</li><li>Administer Microsoft 365, email systems, and user accounts.</li><li>Ensure system availability, reliability, and security.</li><li>Implement IT policies, procedures, and best practices.</li><li>Monitor system access and maintain compliance with company security standards.</li><li><br></li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Qualifications</p><ul><li>Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field.</li><li>Minimum 3–5 years of experience in IT, systems administration, or ERP support.</li><li>Proven experience with Odoo ERP administration, customization, and user support.</li><li>Strong knowledge of Python, PostgreSQL, APIs, and ERP systems.</li><li>Experience with networking, servers, cybersecurity, cloud services, and Microsoft 365 administration.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li><li>Excellent communication and stakeholder management skills.</li></ul><p><br></p></div>

<p>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project ( https://tendem.ai/ ) and build conversational bots and messaging-platform integrations for real-world applications. In this role, you'll use your bot engineering expertise, conversational design skills, and quality-focused approach to build reliable, useful bots and messaging integrations that deliver a great user experience. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p><p>What We Do 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.</p><p>About the Role This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p><p>Key Responsibilities</p><ul><li>Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.</li><li>Design and implement conversational flows, dialogue state, and fallback handling.</li><li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li><li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li><li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li><li>Review, debug, optimize, and refactor bot implementations to improve correctness, reliability, maintainability, and graceful error handling.</li><li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li></ul><p>Requirements and benefits Educational qualifications</p><ul><li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li><li>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li></ul><p>Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p><p>Technical Skills (Essential)</p><ul><li>At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li></ul><p>Additional requirements</p><ul><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p>Project time expectations 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.</p><p>Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution. 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.</p><p>Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</p><p><strong>Desired Candidate Profile</strong></p><p>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</p><p>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</p><p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

COMPANY DESCRIPTIONTerra Sense is a KAUST TIE venture developing autonomous robots that inspect soil and plant health from below the ground, where satellites and drones can't reach. Our solution works in three layers. First, mobility: a quadruped robot called Pianta-1 and a wheeled rover called Cosmo-1 carry our systems into the field. Second, sensing: we fuse in-soil sensing with camera-based AI vision to read plant and soil health directly at the root zone. Third, decision-making: machine learning and edge AI turn that data into real-time insights on a live dashboard, built for whoever needs them, whether that's a farmer, a government body, a park, a municipality, or an operator. We're currently in our product development phase, working out of an innovation hub in Shenzhen, China. You can learn more about our mission at https://terrasenseai.co/.<br>ROLE DESCRIPTIONWe need someone to push our robots from manual-assisted operation toward full autonomy. You'll work on the perception and navigation stack that lets both our quadruped and rover platforms move through field terrain on their own, and on the on-device AI models that classify what our fused soil-and-vision sensing system detects. This is an unpaid, experience-based internship, and we mean that as an honest trade, not a downside. You'll be part of the early evolution of Terra Sense's mission, working on real work headed into real field deployments, not a simulated project. Every intern here gets visibility, international participation, and direct mentorship from world-leading advisors and mentors, and if we close our funding round successfully, a track to early hiring. On completion, we also provide a certificate of achievement, which can support an Erasmus internship grant application if your university is eligible. Most of all, you'll be contributing to something that matters, helping farmers fight water scarcity and building toward a greener Saudi Arabia within a greener world. Location and schedule are flexible: KAUST campus, our Shenzhen hub, remote, or hybrid, by agreement. We value our interns' time and effort and build around it. For more information, or if you'd like to send us a motivation letter and a short brief about yourself, email us at hr@terrasenseai.co .<br>QUALIFICATIONSPursuing or recently completed a degree in Computer Science, Electrical & Computer Engineering, or a related quantitative field (if you hold a different degree but have the relevant hands-on skills, we're open to a discussion, we believe people are more than a CV) Working experience with ROS/ROS2, Python, and computer vision Exposure to autonomous navigation or robot control is a strong plus Comfortable testing and debugging directly on physical hardware Genuine interest in robotics, agri-tech, or sustainability-focused technology

Please submit your CV in English and indicate your level of English proficiency.<br><br>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.<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>Requirements And Benefits<br><br>Educational qualifications<br><br>A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Bachelor's degree is accepted if only candidate has 5 years of experience in the field<br><br>Academic and/or Professional Experience<br><br>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr. Because payment is per task, a faster pace raises your effective hourly rate.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. - Influence how future AI models understand and communicate in your field of expertise

Job Title – Infrastructure Lead Company – TCS (MEA) Location – Riyadh, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Key Responsibilities Automated Deployment Pipelines: Standardize and manage end-to-end deployment processes across all environments (SIT, UAT, Regression, Production, and DR), ensuring seamless integration and consistent application stack management through automated CI/CD workflows. Advanced Linux Automation: Design and implement automation scripts and workflows to streamline regular deployments, patching, and system configurations. Infrastructure Management: Take full ownership of RHEL and other Linux-based enterprise activities. Manage scaling and integration for the application stack across all controlled environments. Operational Resilience: Lead 24/7 support for critical issues. Conduct quarterly Disaster Recovery (DR) exercises and backup testing to guarantee RTO/RPO targets are met. Security & Compliance: Enforce RBAC, data encryption, and privacy standards. Ensure the platform remains compliant with PCI-DSS and GDPR through rapid patching (within 30 days) and vulnerability remediation. Performance & Monitoring: Utilize performance fine-tuning to meet strict application SLAs. Maintain detailed audit logs, health checks, and proactive monitoring to identify issues before they impact users. Collaborative Leadership: Coordinate with internal IT, Info Sec, and third-party vendors. Manage the escalation matrix, perform Root Cause Analysis (RCA), and maintain high-quality documentation. Required Qualifications & Skills Experience: In Linux Systems Engineering and Enterprise Operations. Automation Mastery (Must-Have): Expert proficiency in Ansible, Terraform, Puppet, or Chef for configuration management and infrastructure-as-code, Strong Shell, Python, or Perl scripting skills. OS Expertise: Deep knowledge of Red Hat Enterprise Linux (RHEL) administration, kernel tuning, and security hardening. Orchestration: Hands-on experience with Kubernetes clusters and containerization. Middleware & Data: Knowledge of WSO2 APIM/IS, Redis in-memory data stores, and the ELK Stack for centralized logging. Network Security: Familiarity with load balancers, firewalls, and secure integration patterns. Certifications: RHCE (Red Hat Certified Engineer) is a must. CKA (Certified Kubernetes Administrator) is highly preferred. Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br>Application Deadline: 30th -August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Client is seeking an experienced Infrastructure Engineer with a minimum of 5 years of hands-on experience in designing, implementing, maintaining, and supporting enterprise IT infrastructure. The ideal candidate will be responsible for managing servers, virtualization platforms, storage systems, cloud infrastructure, operating systems, backup solutions, and core IT services to ensure high availability, performance, and security across the organization's technology environment. The successful candidate should possess strong technical expertise in Windows and Linux server administration, virtualization, cloud platforms, storage, networking fundamentals, and disaster recovery.<br>Key Responsibilities:<br>Design, implement, and maintain enterprise IT infrastructure environments. Install, configure, and manage Windows and Linux servers. Administer virtualization platforms including VMware and Hyper-V. Manage enterprise storage solutions, SAN/NAS infrastructure, and storage optimization. Monitor infrastructure performance and proactively resolve issues. Implement and manage backup, recovery, and disaster recovery solutions. Administer Active Directory, Group Policy, DNS, DHCP, and identity management services. Support Microsoft 365, Azure Active Directory (Microsoft Entra ID), and hybrid infrastructure environments. Deploy operating system patches, firmware updates, and infrastructure upgrades. Implement infrastructure security best practices, including endpoint protection, privileged access management, and vulnerability remediation. Configure and maintain high-availability and failover solutions. Support cloud infrastructure deployments on Microsoft Azure and/or AWS. Collaborate with network, security, database, and application teams to support enterprise systems. Develop infrastructure automation scripts where applicable. Maintain technical documentation, infrastructure diagrams, and operational procedures. Participate in infrastructure projects, migrations, and technology refresh initiatives. Provide Level 2/Level 3 support for infrastructure-related incidents and service requests. Ensure compliance with organizational policies, security standards, and regulatory requirements.<br>Required Qualifications:<br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Minimum 5 years of experience in IT infrastructure engineering or systems engineering. Strong experience supporting enterprise infrastructure environments. Excellent troubleshooting and analytical skills. Strong communication and documentation abilities.<br>Required Technical Skills<br>Server Administration Windows Server (2016/2019/2022) Linux (RHEL, Ubuntu, Cent OS) Active Directory Group Policy DNSDHCPFile and Print Services<br>Virtualization VMware v Sphere VMware ESXiVMware v Center Microsoft Hyper-V<br>Cloud Platforms Microsoft Azure Amazon Web Services (AWS) Microsoft Entra ID (Azure Active Directory) Microsoft 365 Administration<br>Storage & Backup SAN/NAS Administration Storage Area Networks Backup and Recovery Veeam Backup & Replication Commvault (preferred) Azure Backup<br>Infrastructure Monitoring Solar Winds PRTGZabbix Nagios Microsoft System Center (preferred)<br>Security Endpoint Protection Multi-Factor Authentication (MFA) Privileged Access Management (PAM) Vulnerability Management Patch Management Bit Locker Microsoft Defender<br>Networking Fundamentals TCP/IPVLANsRouting & Switching Fundamentals VPNFirewall Concepts Load Balancing<br>Automation (Preferred) Power Shell Bash Python Ansible<br>Preferred Certifications:<br>Candidates with one or more of the following certifications will have an advantage:Microsoft Certified: Azure Administrator Associate (AZ-104) Microsoft Certified: Windows Server Hybrid Administrator Associate VMware Certified Professional (VCP) AWS Certified Sys Ops Administrator – Associate Red Hat Certified System Administrator (RHCSA) Comp TIA Server+ITIL Foundation Certification

<p>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project ( https://tendem.ai/ ) and build conversational bots and messaging-platform integrations for real-world applications. In this role, you'll use your bot engineering expertise, conversational design skills, and quality-focused approach to build reliable, useful bots and messaging integrations that deliver a great user experience. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p><p><strong>What We Do</strong> 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.</p><p><strong>About the Role</strong> This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.</li><li>Design and implement conversational flows, dialogue state, and fallback handling.</li><li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li><li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li><li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li><li>Review, debug, optimize, and refactor bot implementations to improve correctness, reliability, maintainability, and graceful error handling.</li><li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li></ul><p><strong>Requirements and benefits</strong></p><p><strong>Educational qualifications</strong></p><ul><li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li><li>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li></ul><p><strong>Academic and/or Professional Experience</strong> Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p><strong>Project time expectations</strong> 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.</p><p><strong>Compensation</strong> On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution. 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.</p><p><strong>Why this freelance opportunity might be a great fit for you?</strong> Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</p><p><strong>Desired Candidate Profile</strong></p><p>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</p><p>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</p><p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

Company Description Rasēd is a cutting-edge fraud detection and prevention solution designed for financial institutions, fintechs, and payment providers. It combines AI, device intelligence, and behavioral biometrics to detect and prevent fraud in real time while ensuring a seamless user experience. The platform also includes advanced analytics for post-incident investigation, compliance, and automated case management, enabling faster, smarter, and more secure fraud management.<br>Location: Riyadh, Saudi Arabia (Onsite) Employment Type: Full-time<br>Role Purpose We're looking for a Data Scientist to build and improve the models and rules that detect fraud, AML risk, and financial crime — from transaction monitoring to mule activity and account takeover. You'll own fraud analytics end to end, from data exploration to deployment and monitoring, working closely with fraud, compliance, and engineering teams.<br>Responsibilities● Contribute to the development and deployment of fraud detection, AML, and financial crime prevention solutions.● Build and improve models and rules that detect suspicious behavior, transaction fraud, mule activity, account takeover, sanctions risk, and abnormal customer patterns.● Translate fraud, compliance, and business requirements into practical analytical solutions, detection scenarios, dashboards, and workflows.● Own defined fraud analytics components end to end, from data exploration and feature engineering to testing, deployment, and monitoring.● Work with structured financial, customer, device, transaction, and case-management data to identify fraud patterns and risk indicators.● Conduct experimentation and optimization of fraud detection models, risk scoring logic, and scenario thresholds.● Support model deployment and monitoring in collaboration with engineering teams, ensuring fraud models remain accurate, explainable, and operationally useful.● Assist in tuning fraud scenarios, reducing false positives, improving detection rates, and measuring model effectiveness.● Interact with SME clients under guidance to understand fraud use cases, operational pain points, and regulatory expectations.● Stay updated with fraud trends, AML typologies, regulatory requirements, and industry best practices.<br>Qualifications● 1–4 years of experience delivering data science, analytics, fraud detection, AML, or financial crime solutions.● Must have hands-on Python experience.● Must have experience or strong exposure to fraud detection, AML, risk analytics, transaction monitoring, or financial crime.● Strong proficiency in SQL and experience working with structured data.● Experience working with data such as transactions, customer profiles, device data, alerts, cases, or financial records.● Familiarity with feature engineering, data pipelines, model training, model evaluation, and deployment workflows.● Understanding of fraud detection concepts such as anomaly detection, risk scoring, false positives, behavioral patterns, mule accounts, and suspicious activity monitoring.● Strong analytical thinking and ability to connect data patterns to real-world fraud behavior.● Strong communication skills and ability to explain technical findings to business, fraud, and compliance teams.● Proficiency in English; Arabic is a plus.<br>Nice to have● Exposure to Generative AI, LLMs, prompt engineering, RAG, or AI-agent workflows.● Experience applying Gen AI to fraud investigation, alert triage, sanctions screening, workflow automation, or case management.● Experience with model monitoring, MLOps, or production fraud systems.

Company Description Rasēd is a cutting-edge fraud detection and prevention solution designed for financial institutions, fintechs, and payment providers. It combines AI, device intelligence, and behavioral biometrics to detect and prevent fraud in real time while ensuring a seamless user experience. The platform also includes advanced analytics for post-incident investigation, compliance, and automated case management, enabling faster, smarter, and more secure fraud management.<br>Location: Riyadh, Saudi Arabia (Onsite) Employment Type: Full-time<br>Role Purpose We're looking for a Data Scientist to build and improve the models and rules that detect fraud, AML risk, and financial crime — from transaction monitoring to mule activity and account takeover. You'll own fraud analytics end to end, from data exploration to deployment and monitoring, working closely with fraud, compliance, and engineering teams.<br>Responsibilities● Contribute to the development and deployment of fraud detection, AML, and financial crime prevention solutions.● Build and improve models and rules that detect suspicious behavior, transaction fraud, mule activity, account takeover, sanctions risk, and abnormal customer patterns.● Translate fraud, compliance, and business requirements into practical analytical solutions, detection scenarios, dashboards, and workflows.● Own defined fraud analytics components end to end, from data exploration and feature engineering to testing, deployment, and monitoring.● Work with structured financial, customer, device, transaction, and case-management data to identify fraud patterns and risk indicators.● Conduct experimentation and optimization of fraud detection models, risk scoring logic, and scenario thresholds.● Support model deployment and monitoring in collaboration with engineering teams, ensuring fraud models remain accurate, explainable, and operationally useful.● Assist in tuning fraud scenarios, reducing false positives, improving detection rates, and measuring model effectiveness.● Interact with SME clients under guidance to understand fraud use cases, operational pain points, and regulatory expectations.● Stay updated with fraud trends, AML typologies, regulatory requirements, and industry best practices.<br>Qualifications● 1–4 years of experience delivering data science, analytics, fraud detection, AML, or financial crime solutions.● Must have hands-on Python experience.● Must have experience or strong exposure to fraud detection, AML, risk analytics, transaction monitoring, or financial crime.● Strong proficiency in SQL and experience working with structured data.● Experience working with data such as transactions, customer profiles, device data, alerts, cases, or financial records.● Familiarity with feature engineering, data pipelines, model training, model evaluation, and deployment workflows.● Understanding of fraud detection concepts such as anomaly detection, risk scoring, false positives, behavioral patterns, mule accounts, and suspicious activity monitoring.● Strong analytical thinking and ability to connect data patterns to real-world fraud behavior.● Strong communication skills and ability to explain technical findings to business, fraud, and compliance teams.● Proficiency in English; Arabic is a plus.<br>Nice to have● Exposure to Generative AI, LLMs, prompt engineering, RAG, or AI-agent workflows.● Experience applying Gen AI to fraud investigation, alert triage, sanctions screening, workflow automation, or case management.● Experience with model monitoring, MLOps, or production fraud systems.

Senior Groundwater Modelling Specialist Location: Remote with occasional travel to Saudi Arabia Job Type: Contract<br>About the Role We are seeking an experienced Senior Groundwater Modelling Specialist to support a major groundwater and environmental programme in Saudi Arabia. This role is primarily remote, with occasional travel required for client meetings, workshops, site visits, and project activities.<br>The successful candidate will lead the development and application of advanced groundwater models to support sustainable groundwater management, environmental assessments, and urban infrastructure planning. Working within a multidisciplinary team, you will provide technical leadership throughout the modelling lifecycle, from conceptual model development through to predictive simulations and client training.<br>Key Responsibilities Collect, review, analyse, and interpret hydrological, hydrogeological, geological, and environmental datasets to support groundwater modelling studies. Develop conceptual hydrogeological models and build robust numerical groundwater models using industry-standard software such as MODFLOW, FEFLOW, or equivalent. Define model boundaries, hydrostratigraphy, hydraulic properties, boundary conditions, and initial conditions. Calibrate and validate groundwater models using observed field data and undertake sensitivity and uncertainty analyses. Perform predictive groundwater simulations to evaluate management strategies, environmental impacts, and future development scenarios. Develop interactive dashboards and visualisation tools to communicate modelling results and project performance. Prepare high-quality technical reports, modelling documentation, presentations, and project deliverables. Deliver technical training and knowledge transfer sessions to client personnel on groundwater modelling methodologies, software, and interpretation of results. Work collaboratively with multidisciplinary teams including hydrogeologists, hydrologists, environmental specialists, GIS professionals, and engineers. Ensure all work is completed in accordance with project quality standards, HSE requirements, and client expectations.<br>Required Qualifications MSc or PhD in Hydrogeology, Hydrology, Water Resources Engineering, or a related discipline. Minimum 15 years of experience in groundwater modelling and hydrogeological investigations. Demonstrated expertise in conceptual and numerical groundwater modelling. Advanced experience using MODFLOW, FEFLOW, or comparable groundwater modelling software. Strong understanding of groundwater flow processes, aquifer characterisation, hydraulic parameter estimation, model calibration, validation, and sensitivity analysis. Experience supporting urban groundwater, infrastructure, or environmental water resource projects. Experience developing dashboards and data visualisation tools (e.g. Power BI, Arc GIS Dashboards, Python, or similar). Strong technical report writing and presentation skills. Experience delivering client training and knowledge transfer programmes. Excellent communication skills in English.<br>Preferred Experience Previous experience supporting groundwater resource management projects in arid or semi-arid environments. Experience working with government agencies, utilities, or major infrastructure projects. Familiarity with GIS software and groundwater data management. Previous experience working on projects in the Middle East is advantageous.<br>What We Offer Remote working with occasional travel to Saudi Arabia. Opportunity to contribute to a high-profile groundwater management programme. Collaborative, multidisciplinary project environment. Long-term contract opportunity with exposure to technically challenging and innovative groundwater modelling projects.<br>If you are interested in finding out more, please apply or send your CV to lparkerhough@leap29.com

Job Title – Gen AI Engineer Company – TCS (MEA) Location – Dhahran, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Must Have Technical/Functional Skills;<br>Experience with video analytics, object detection, tracking, segmentation, and scene understanding. Exposure to edge computing, GPU optimization, and model quantization for real-time deployment. Familiarity with CI/CD pipelines and MLOps practices in vision systems. Experience with large-scale vision datasets and data curation tools. Proficiency in Python, with hands-on experience in PyTorch, Tensor Flow, or Paddle Paddle. Experience with YOLO models, including training, fine-tuning, and deployment. Working knowledge of CNNs, Auto-Encoders, and Vision-Language Models (VLMs) for both images and videos. Experience using Paddle OCR or similar OCR frameworks for text detection and recognition in images and video frames. Experience with NVIDIA Deep Stream SDK for multi-stream video processing and inference acceleration. Familiarity with annotation tools such as Label Studio or CVAT, including managing and cleaning annotated datasets. Experience building and deploying microservices with Fast API and Docker. Strong understanding of data preprocessing, augmentation, and pipeline design for vision tasks.<br>Roles & Responsibilities;<br>Design, develop, and deploy computer vision models for processing multiple real-time camera streams. Build and optimize deep learning pipelines using CNNs, YOLO, Auto-Encoders, Vision-Language Models (VLMs), and OCR models. Fine-tune and train YOLO, VLM, and OCR models (such as Paddle OCR) for both image and video understanding, including text detection and recognition. Collaborate with data engineering teams to develop data annotation pipelines and clean large-scale datasets. Utilize tools such as Label Studio or CVAT for annotation tasks and ensure high-quality labeled data. Deploy models using NVIDIA Deep Stream, Docker, and microservices architecture for scalable production environments. Develop APIs and backend services using Fast API for model inference and integration. Continuously improve model performance through experimentation, evaluation, and feedback loops. Contribute to the documentation, scaling, and maintenance of vision systems in production.<br>Generic Managerial Skills, If any<br>Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication skills and the ability to collaborate effectively with cross-functional teams.<br>Application Deadline: 30-June-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Cyber Simulation Exercises Scenario Developer<br>Summary The Cyber Simulation Exercises Scenario Developer designs, builds, and delivers largescale cybersecurity simulation exercises (Threat Hunting Event, Live Fire Exercises,Capture the Flag) to uplift workforce cyber capability. This role develops realistic scenarioson a cyber range platform, creates exercise “injects” and artifacts, and builds/maintainsthe supporting lab infrastructure to enable repeatable, measurable training at scale.<br>Key Responsibilities1) Cyber Range Exercise & Scenario Development- Design end-to-end cyber simulation exercises aligned to organizationalcapability uplift goals (e.g., phishing response, ransomware, cloudmisconfigurations, insider threat, incident response coordination).- Translate learning objectives into engaging storylines, technical objectives, andmeasurable outcomes.- Develop multi-track scenarios for different audiences (IT, SOC, incidentcommanders, and executives) with appropriate complexity and realism.- Ensure scenarios reflect current threat landscape and common enterpriseenvironments (Windows/Linux, AD, email, web applications, cloud, endpoints).2) Content Creation (Exercise Materials & Artifacts)- Produce complete exercise packages including: facilitator guides, participantinstructions, runbooks, timelines, scoring rubrics, and debrief materials.- Create realistic artifacts: emails, chat transcripts, tickets, logs, alerts, threatintel snippets, media statements, executive briefings, and policy references.- Build assessment content (pre/post checks, knowledge validations,performance-based evaluation criteria).3) Inject Design & Orchestration- Create and manage exercise injects (technical and non-technical) to drivedecision-making and actions during the simulation.- Implement inject delivery mechanisms within the cyber range (automatedtriggers, timed releases, event-driven injects).- Coordinate inject timing, escalation paths, and branching logic based onparticipant actions.4) Cyber Range Infrastructure Build & Maintenance- Build and configure lab environments required for scenarios (networks,endpoints, servers, identity services, security tooling).- Integrate common security tools and telemetry sources (SIEM, EDR, IDS, emailsecurity, vulnerability scanners) as required by the exercise.5) Exercise Delivery Support & Facilitation Enablement- Support dry runs, pilot sessions, and production execution; troubleshoottechnical issues during live exercises.- Provide facilitators with clear runbooks, decision points, and expectedparticipant actions.- Capture exercise telemetry and participant performance data for reporting andcontinuous improvement.6) Measurement, Reporting & Continuous Improvement- Define KPIs and scoring models (time-to-detect, time-to-contain, decisionquality, process adherence, communication effectiveness).- Produce post-exercise reports and lessons learned; recommend improvementsto content, controls, and processes. Required Qualifications- Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, orequivalent practical experience.- Proven experience developing cybersecurity simulation exercises on a cyberrange platform (hands-on).- Demonstrated ability to create injects and exercise artifacts that drive realisticparticipant behavior.- Experience building and operating lab infrastructure (virtualized or cloud-based)for cyber scenarios.- Strong understanding of incident response lifecycle, common attacktechniques, and defensive controls. Required Technical Skills- Cyber range platforms: hands-on experience with at least one commercial oropen cyber range solution (platform-agnostic, but must have realimplementation experience).- Infrastructure: virtualization and networking fundamentals (segmentation,routing, DNS, AD basics).- OS & enterprise tech: Windows/Linux administration basics; Active Directoryconcepts.- Automation/scripting: Power Shell, Python, Bash (at least one strong).- Logging/monitoring concepts: SIEM/EDR telemetry, log sources, alerting logic.

Senior OT Cybersecurity Deployment Engineer Location: Dammam, Saudi Arabia (On-site) Join a Global Leader in Industrial Cybersecurity<br>An industry-leading cybersecurity vendor at the forefront of protecting critical infrastructure is looking for a Senior OT Cybersecurity Deployment Engineer to join its professional services team in Saudi Arabia.<br>This is an opportunity to work on some of the region's most critical environments, including power generation, utilities, oil & gas, manufacturing, and industrial facilities. You'll play a key role in deploying a market-leading OT cybersecurity platform, working directly with customers to strengthen the security and visibility of their operational technology environments.<br>If you enjoy being hands-on, solving complex technical challenges, and working alongside some of the best OT security specialists in the industry, this role offers exceptional exposure, long-term career growth, and the chance to make a genuine impact on critical national infrastructure.<br>What You'll Be Doing Lead the deployment and implementation of an enterprise OT cybersecurity platform within customer environments. Work directly with customer engineering and IT/OT teams to design deployment strategies, sensor placement, network visibility, and system integrations. Configure, optimise and fine-tune the platform to maximise operational visibility and security outcomes. Develop customer-specific use cases, detection content and operational workflows. Monitor platform health, performance and availability while continuously improving system effectiveness. Perform upgrades, maintenance, configuration changes and ongoing optimisation. Troubleshoot technical issues and provide advanced support during and after deployment. Deliver technical workshops, knowledge transfer sessions and administrator training to customer teams. Partner with internal technical specialists to deliver a seamless customer experience. Gather customer feedback and help shape future product improvements. Identify opportunities to expand customer adoption of additional cybersecurity solutions and services.<br>What We're Looking For3+ years of experience within Operational Technology (OT), Industrial Control Systems (ICS), Automation or Industrial Networking. Previous cybersecurity experience is highly desirable. Strong understanding of:Industrial networking TCP/IP and the OSI Model Purdue Enterprise Reference Architecture Industrial communication protocols Experience with Linux administration and command-line environments. Exposure to Docker, containerised applications or virtualised environments. Scripting experience using Python, Bash or similar languages. Experience working with SIEM or security monitoring platforms is advantageous. Knowledge of enterprise infrastructure, on-premise deployments and cloud technologies. Comfortable managing multiple customer projects and engaging with both technical and executive stakeholders. Excellent communication, consulting and customer-facing skills. Willingness to travel across the region when required.<br>Why Join? Work for one of the world's most respected industrial cybersecurity technology companies. Protect critical infrastructure that millions of people rely on every day. Be involved in high-profile projects across energy, utilities, manufacturing and other industrial sectors. Join a collaborative team of internationally recognised OT security experts. Access outstanding career progression, technical development and continuous learning opportunities. Competitive compensation package including equity participation and an excellent benefits programme.

Core Responsibilities:Design and build the central data infrastructure (Click House, data lake, or equivalent) that aggregates data from property management, leasing, finance, and operations systems. Integrate frontier LLMs (Claude, GPT-4, or equivalent) via API to serve as the reasoning and analysis layer on top of internal data. Build and maintain retrieval pipelines that intelligently select, filter, and deliver relevant data to the LLM within context window constraints. Develop internal tools, dashboards, or interfaces that allow non-technical staff to interact with AI-powered analysis. Implement proper data security, access controls, and compliance protocols — ensuring sensitive real estate and tenant data is handled appropriately. Architect systems with modularity in mind — LLM providers, data sources, and tools should be swappable as the landscape evolves. Monitor AI output quality and implement validation/feedback loops to catch hallucinations and errors. Stay current with AI developments and proactively recommend when new capabilities become relevant to Unified’s operations. Document all systems, architectures, and processes thoroughly. Bus-factor risk must be minimized. Required Qualifications3–5 years of software engineering experience, with strong proficiency in Python. Hands-on experience building applications that integrate with LLM APIs (Anthropic, Open AI, or similar). Practical knowledge of data engineering: ETL pipelines, SQL, working with structured and semi-structured data on scale. Experience with at least one of: Click House, Postgre SQL, Big Query, Snowflake, or comparable analytical databases. Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and context management strategies. Familiarity with orchestration frameworks (Lang Chain, Llama Index, or custom equivalents). Ability to deploy and maintain production services (Docker, cloud infrastructure, CI/CD basics). Strong communication skills — you will need to explain technical constraints and trade-offs to non-technical stakeholders clearly. Preferred Qualifications Experience in real estate, property management, or construction technology is a strong plus but not required. Exposure to agent-based AI workflows and multi-step task orchestration. Experience with data visualization tools or building internal dashboards (Streamlit, Retool, or custom). Familiarity with Arabic language NLP or bilingual data environments. Previous experience working in small teams or startup-like environments where you owned projects end-to-end. What This Role Is Not This is not an ML research role. You will not be training or fine-tuning models. You will be implementing and integrating existing frontier models. This is not a pure data engineering role. You will build data infrastructure, but the goal is to power AI applications, not just maintain databases. This is not a management role. This is an individual contributor position with high autonomy and direct impact. Working Arrangement Based in Riyadh. You will participate in weekly rotating meetings with different departments (leasing, property management, finance, operations) alongside the AI Analyst to understand business needs and demonstrate progress. Expect a fast iteration cycle — the expectation is working prototypes, not lengthy planning phases.

Core Responsibilities:Design and build the central data infrastructure (Click House, data lake, or equivalent) that aggregates data from property management, leasing, finance, and operations systems. Integrate frontier LLMs (Claude, GPT-4, or equivalent) via API to serve as the reasoning and analysis layer on top of internal data. Build and maintain retrieval pipelines that intelligently select, filter, and deliver relevant data to the LLM within context window constraints. Develop internal tools, dashboards, or interfaces that allow non-technical staff to interact with AI-powered analysis. Implement proper data security, access controls, and compliance protocols — ensuring sensitive real estate and tenant data is handled appropriately. Architect systems with modularity in mind — LLM providers, data sources, and tools should be swappable as the landscape evolves. Monitor AI output quality and implement validation/feedback loops to catch hallucinations and errors. Stay current with AI developments and proactively recommend when new capabilities become relevant to Unified’s operations. Document all systems, architectures, and processes thoroughly. Bus-factor risk must be minimized. Required Qualifications3–5 years of software engineering experience, with strong proficiency in Python. Hands-on experience building applications that integrate with LLM APIs (Anthropic, Open AI, or similar). Practical knowledge of data engineering: ETL pipelines, SQL, working with structured and semi-structured data on scale. Experience with at least one of: Click House, Postgre SQL, Big Query, Snowflake, or comparable analytical databases. Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and context management strategies. Familiarity with orchestration frameworks (Lang Chain, Llama Index, or custom equivalents). Ability to deploy and maintain production services (Docker, cloud infrastructure, CI/CD basics). Strong communication skills — you will need to explain technical constraints and trade-offs to non-technical stakeholders clearly. Preferred Qualifications Experience in real estate, property management, or construction technology is a strong plus but not required. Exposure to agent-based AI workflows and multi-step task orchestration. Experience with data visualization tools or building internal dashboards (Streamlit, Retool, or custom). Familiarity with Arabic language NLP or bilingual data environments. Previous experience working in small teams or startup-like environments where you owned projects end-to-end. What This Role Is Not This is not an ML research role. You will not be training or fine-tuning models. You will be implementing and integrating existing frontier models. This is not a pure data engineering role. You will build data infrastructure, but the goal is to power AI applications, not just maintain databases. This is not a management role. This is an individual contributor position with high autonomy and direct impact. Working Arrangement Based in Riyadh. You will participate in weekly rotating meetings with different departments (leasing, property management, finance, operations) alongside the AI Analyst to understand business needs and demonstrate progress. Expect a fast iteration cycle — the expectation is working prototypes, not lengthy planning phases.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We are seeking an experienced Senior Hydrogeology Engineer (6 to 10+ years of experience) to lead groundwater projects, manage multidisciplinary teams, and deliver high-quality hydrogeological assessments and groundwater control solutions. Strong leadership, project management, and client-facing experience. Proven ability to manage teams and deliver complex groundwater projects successfully. 6 to 10 years of experience in hydrogeological engineering, groundwater modelling, and dewatering design. Bachelor s or Master s degree in Hydrogeology, Civil Engineering (Water Resources), or related field. Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.</p><p>Project &amp; Team Management</p><ul><li>Manage project delivery, ensuring compliance with scope, schedule, budget, and quality standards.</li><li>Lead coordination meetings with clients, contractors, and stakeholders.</li><li>Mentor junior engineers and provide technical oversight and quality assurance.</li><li>Contribute to proposals and business development initiatives.</li></ul><p>Technical Leadership</p><ul><li>Lead hydrogeological groundwater assessments, including evaluation of groundwater rise and long-term impacts on infrastructure.</li><li>Interpret and review packer tests, falling/rising head tests, and pumping test data to assess aquifer parameters, safe yield, and well performance.</li><li>Develop, calibrate, and review 3D groundwater flow and solute transport models (MODFLOW, MT3DMS, GMS, FEFLOW, or equivalent).</li><li>Perform water balance and mass balance assessments to support sustainable groundwater management.</li><li>Apply GIS tools (ArcGIS, QGIS) and Python/FloPy to enhance data analysis, visualization, and modelling workflows.</li></ul><p>Dewatering &amp; Groundwater Control</p><ul><li>Lead the design and review of construction dewatering systems and long-term groundwater control solutions.</li><li>Prepare and oversee design calculations, drawings, BOQs, specifications, and tender documentation.</li><li>Develop and review hydrogeological reports, dewatering plans, and groundwater impact assessments.</li></ul><p>Mining-Specific Expertise</p><ul><li>Experience in mining hydrogeology, including open-pit and underground operations, is highly desirable.</li><li>Conduct hydrogeological assessments for mineral extraction projects, including ore body dewatering, and groundwater flow modelling and feasibility studies, risk assessment studies, TSF subsurface water management design.</li><li>Advise on long-term mine water management, recharge and discharge strategies, and integration with local water resources.</li><li>Support closure and post-mining groundwater management planning.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6 to 10+ years of experience in hydrogeological engineering, groundwater modelling, and dewatering design.</li><li>Bachelor s or Master s degree in Hydrogeology, Civil Engineering (Water Resources), or related field.</li><li>Strong leadership, project management, and client-facing experience.</li><li>Proven ability to manage teams and deliver complex groundwater projects successfully.</li><li>Experience in mining hydrogeology, including open-pit and underground operations, is highly desirable.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Alternant Intégration Systèmes Industriels 4.0 F/H</p><br><br><p>Alternance</p><br><br><p>2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps partiel</p><br><br><p>La nouvelle entité Safran Additive Manufacturing Campus (SAMC), située au Haillan (33), est le centre d'expertise sur la Fabrication Additive pour le groupe SAFRAN. SAMC s'est engagé à renforcer ses socles sur la Data 4.0, considérée comme un verrou majeur à lever et sur lequel le centre est particulièrement attendu.<br>Dans le cadre de l'industrie 4.0, SAMC doit améliorer la capture des données riches générées par ses machines (IoT) et permettre leur exploitation en temps réel. <br>Cette approche vise à optimiser la collecte et l'analyse de données, aussi bien à chaud qu'à froid. Il est donc nécessaire d'établir une connectivité machine robuste et fiable (EDGE) tout en assurant une qualité de données optimale.<br>La maîtrise de notre fabrication est un élément essentiel pour assurer les exigences qualité demandées par nos clients, il est donc nécessaire d'effectuer en amont, des simulations spécifiques de fabrication additive pour être le plus représentatif de ce qui sera fabriqué. <br>A cet effet des algorithmes de machine Learning sont développés et intégrés dans notre chaîne numérique, il sera donc nécessaire de soutenir la maturation et le déploiement (continuer le développement) de ces algorithmes avec une mise en production plus optimisée.<br>Dans ce cadre nous recherchons un alternant préparant un diplôme d'ingénieur ou master sur 3 ans, orienté développement informatique et réseau industriel, ayant une forte appétence pour la programmation, la data et le monde industriel aéronautique.<br>Missions<br>- Contribuer à l'amélioration continue des solutions EDGE pour la capture de données riches générées par les machines.<br>- Assurer la qualité des données collectées pour permettre une analyse efficace à chaud et à froid.<br>- Participer à la conception et à la mise en place de simulations spécifiques de fabrication additive préalables à la production, pour garantir la conformité aux exigences de qualité des clients.<br>- Contribuer à l'établissement d'une connectivité machine robuste et fiable, en collaborant à la mise en œuvre des réseaux industriels nécessaires.<br>- Fournir un support aux équipes de production pour résoudre les problèmes techniques liés à l'exploitation des données et à la connectivité machine.<br>- Participer à la maintenance et à l'évolution des outils et systèmes en place pour garantir leur performance optimale.<br>- Participer à la maturation et au déploiement des algorithmes de machine learning.<br>- Effectuer une veille technologique sur les avancées en informatique industrielle, IoT et machine learning, pour intégrer les meilleures pratiques et technologies émergentes.</p><br><br><p> - port d'EPI pour salle FA</p><br><br><p>- Savoir -être<br> . Esprit d'équipe<br> . Esprit critique<br> . Pragmatique orienté recherche de solutions<br> . Proactif<br>Savoir faire<br>. Connaissance réseaux industriels (Webservices, OPCUA, Network, ...)<br>. Maîtrise de la programmation Python<br>. Maîtrise de la programmation JAVA C++<br>. Connaissance Low-code (Node-Red, ...)<br>. Connaissances IA / ML<br>. Connaissance des logiciels socles de l'entreprise serait un plus (ERP, MCS, MES, PLM, …)<br>Diplôme visé<br>- Master / Ingénieur en informatique et data</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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced <strong>Ansible L2</strong> <strong>Automation Engineer</strong> to design, develop, integrate, and support enterprise automation use cases across a <strong>large banking IT environment</strong>. The resource will automate day-to-day operations, provisioning, patching, health checks, compliance checks, and remediation workflows across infrastructure, cloud, network, security, database, middleware, AIX, VMware, Nutanix, OCI, and mainframe-related environments. </p> <br> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Design and maintain a modular, role-based Ansible project structure (collections, roles, playbooks) aligned to banking ITSM standards (ITIL v4). </li> <li>Build and enforce Ansible best practices: idempotency, error handling, vault secrets management, and tag-based execution strategies. </li> <li>Develop reusable Ansible Collections for internal consumption and publish to a private Automation Hub / Galaxy. </li> <li>Integrate Ansible with AWX / Ansible Automation Platform (AAP) 2.x for workflow orchestration, RBAC, and audit trail. </li> <li>Architect end-to-end CI/CD pipelines for playbook testing (Molecule, ansible-lint, YAML lint) via GitLab CI / Jenkins. </li> <li>Automate VM lifecycle: provisioning, cloning, snapshot management, decommissioning via community. VMware collection. </li> <li>Integrate with vRealize Orchestrator and NSX-T for network-aware VM provisioning. </li> <li>Health checks: datastore capacity, VM sprawl detection, HA/DRS cluster status, vCenter certificate expiry. </li> <li>Automate cluster provisioning, VM creation, disk/network attachment via nutanix. ncp collection </li> <li>Automate OCI resource provisioning: Compute instances, VCNs, subnets, Block Volumes, OCI Vault secrets via oracle. oci collection. </li> <li>Implement cost governance: tag enforcement playbooks, idle resource detection, and scheduled shutdown/startup. </li> <li>Automate AIX system provisioning via NIM (Network Installation Manager) integrated with Ansible. </li> <li>Manage LPAR lifecycle, VIOS virtual adapter configuration, and WPARs using ibm. power aix collection. </li> <li>Automate configuration management for multi-vendor network devices (Cisco IOS/NX-OS, Juniper JunOS, Arista EOS, F5 BIG-IP) using platform-specific Ansible collections. </li> <li>Implement network compliance playbooks: enforce baseline configs, detect drift, and remediate via NAPALM / netconf / RESTCONF. </li> <li>Design and operate bank-wide OS patching automation for Linux (RHEL, SLES, Ubuntu), Windows Server, AIX, and OCI instances. </li> <li>Integrate patching workflows with ServiceNow: auto-open CRQs, update CMDB, close with compliance evidence. </li> <li>Develop and schedule comprehensive health-check playbooks for all platforms (daily/weekly/on-demand). </li> <li>Build capacity reporting automation: CPU/memory/storage trending, forecast alerts. </li> </ul> <p> </p> <p> <strong>TECHNICAL SKILLS &amp; PLATFORM</strong> </p> <p> <strong>Ansible Core</strong> </p> <p>AAP 2.x / AWX, Ansible Navigator, Ansible Lint, Molecule, RBAC, Execution Environments, Collections, Vault </p> <p> <strong>VMware</strong> </p> <p>vSphere 7/8, vCenter, ESXi, NSX-T, vSAN, vROps, SDDC Manager, community. VMware </p> <p> <strong>CI/CD &amp; DevOps</strong> </p> <p>GitLab CI, Jenkins, Git, Jinja2, YAML, Python 3.x, Bash, REST API, JSON/YAML parsing </p> <p> <strong>ITSM &amp; Monitoring</strong> </p> <p>ServiceNow (CMDB, CRQ, Incident), Splunk, ELK Stack, Grafana, Prometheus, Dynatrace </p> <p> <strong>Security &amp; Compliance</strong> </p> <p>CIS Benchmarks, STIG, PCI-DSS, SWIFT CSP, HashiCorp Vault, CyberArk AAM, Qualys/Tenable API </p> <br> <p> <strong>CERTIFICATIONS REQUIRED &amp; RECOMMENDED</strong> </p> <ul> <li>Red Hat Certified Specialist in Advanced Automation (EX374) </li> <li>Red Hat Certified Engineer (RHCE EX294 Ansible) </li> <li>Ansible Automation Platform (AAP) Implementation </li> <li>Red Hat Certified Architect (RHCA) </li> </ul></div></section>

<h3 >About Almosafer</h3> <p >Almosafer is Saudi Arabia’s leading travel company, actively shaping the future of the travel industry. Serving millions across every segment of the travel and tourism ecosystem, Almosafer aims to make every journey seamless, personal, and purposeful, reflecting its name, which means "the traveler." The company’s diverse platforms and services are designed to deliver enriching experiences that resonate with the spirit of Saudi Arabia and the wider region. Almosafer’s vision is to be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.</p> <h3 >About the Role</h3> <p >Almosafer is seeking a <strong >Specialist Data Intelligence</strong> to join its Data Intelligence team. In this full-time role, based in <strong >Riyadh, Saudi Arabia</strong>, you will function as a Commercial Data Analyst. The primary responsibility involves leveraging Almosafer's comprehensive travel commerce data, including bookings, customer, pricing, supplier, and revenue information, to generate actionable insights. These insights will inform business strategy, optimize commercial performance, and enable data-driven decision-making across key departments such as Sourcing, Revenue Management, Product, Sales, and Marketing. This position requires 2-5 years of relevant experience.</p> <h3 >Key Responsibilities</h3> <ul > <li >Explore and analyze in-house datasets, including transactional, sourcing, connectivity, and competitive intelligence, to generate meaningful insights.</li> <li >Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement.</li> <li >Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</li> <li >Translate data findings into clear, concise, and actionable insights and business recommendations.</li> <li >Present analysis to stakeholders using visualizations and storytelling to support strategic decisions and achieve impactful results.</li> <li >Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions.</li> <li >Help shape KPIs, reporting metrics, and dashboards aligned with business goals.</li> <li >Proactively suggest opportunities for optimization and process improvement using data insights, and stay updated with industry trends and analytics tools.</li> <li >Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions.</li> <li >Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics.</li> <li >Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</li> <li >Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies, and drive data literacy and analytical best practices across teams.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >2-5 years of experience in a data analysis or business intelligence role, preferably within a commercial or travel industry context.</li> <li >Demonstrated ability to explore and analyze complex datasets to generate actionable insights and identify business opportunities.</li> <li >Proficiency in designing and implementing automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms.</li> <li >Strong communication skills to translate data findings into clear recommendations and present them effectively to diverse stakeholders.</li> <li >Experience collaborating with cross-functional teams and acting as a mutual data partner and advisor.</li> <li >Understanding of enterprise data governance and quality standards.</li> </ul> <h3 >Working at Almosafer</h3> <p >At Almosafer, teams operate with purpose, clarity, and a shared commitment to accountability, trust, and collaboration. The company fosters a purpose-led workplace where individual ideas can create real impact. Almosafer supports ongoing learning and development to facilitate professional growth and provides recognition for achievements. The work environment is built on a community of trust, curiosity, and shared momentum, offering space for individuals to connect and contribute meaningfully.</p> <h3 >Location and Work Type</h3> <p >This is a full-time position located in Riyadh, Riyadh, Saudi Arabia.</p>