Noorex jobs
2 Jobs Found
Noorex
UAE - Dubai
<p><strong>Head of Data & AI</strong></p><p><strong>Location: Dubai, UAE</strong></p><p><strong>Full-time | On-site </strong></p><p><br></p><p>We are hiring a Head of Data & AI to lead and scale the Data & AI function for a goverment backed organisation in Dubai.</p><p><br></p><p>You will manage an existing team of 7 Data & AI professionals, report directly to C-level leadership, and take ownership of the organisation’s Data & AI strategy, architecture and delivery as the company look to scale its capabilities and drive AI adoption across the organisation.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead, mentor and scale the existing Data & AI team</li><li>Own the Data & AI strategy and technical roadmap</li><li>Lead delivery of production AI/ML, Generative AI, LLM and Agentic AI solutions</li><li>Oversee modern data platforms, engineering and AI architecture</li><li>Establish best practices across Data Engineering, AI/ML and MLOps/LLMOps</li><li>Work directly with C-level stakeholders on priorities, investment and delivery</li><li>Ensure solutions meet security, governance and scalability requirements</li></ul><p><br></p><p><strong>Requirements</strong></p><ul><li>Strong experience leading Data & AI teams</li><li>Proven experience building or scaling technical teams</li><li>Strong background across Data Engineering, AI/ML and modern data architecture</li><li>Experience delivering AI/ML solutions into production</li><li>Knowledge of GenAI, LLMs, Agentic AI and cloud technologies</li><li>Excellent communication and senior stakeholder-management skills</li><li>Comfortable remaining technically involved while leading at a strategic level</li></ul><p><br></p><p><strong>What’s on Offer</strong></p><ul><li>Competitive salary package</li><li>Performance-based annual bonus</li><li>Schooling support for families + other allowances</li><li>Opportunity to lead and scale a growing Data & AI function</li><li>Direct exposure to and influence with C-level leadership</li></ul><p><br></p><p><strong>UAE-based candidates only</strong>.</p><p><br></p>
Noorex
UAE - Dubai
<p><strong>AI / ML Engineer</strong></p><p><strong>Dubai </strong></p><p><br></p><p><strong>About the Company:</strong></p><p> Our client is an AI and robotics startup building autonomous systems for heavy duty environments. Based in the UAE, they design, build and deploy intelligent autonomy end-to-end, helping enterprise clients bring automation into complex, high risk operations.</p><p><br></p><p><strong>The Role</strong></p><p>You will own how the vehicles see and understand the world. That means building the perception layer that turns raw sensor data into a reliable picture of the environment in real conditions: dust, glare, heat, uneven terrain and places no one has mapped. Your work feeds directly into navigation, obstacle avoidance and fleet management. This is a hands-on role with high ownership, and you will be expected to get code running on real vehicles early.</p><p><br></p><p><strong>What You Will Do</strong></p><ul><li>Design, build and deploy the perception stack across camera, LiDAR and radar inputs</li><li>Develop object detection, tracking and segmentation that holds up in harsh outdoor and industrial settings</li><li>Build localisation and mapping capability, including operation in GPS-denied and unmapped areas</li><li>Fuse multi-sensor data into a unified, real-time environmental model the planning stack can trust</li><li>Optimise models for on-vehicle inference on edge hardware within strict latency and compute budgets</li><li>Build data pipelines for collection, labelling, validation and retraining from fleet data</li><li>Feed perception insights into fleet-level analytics for mission planning and performance monitoring</li><li>Work closely with autonomy, controls and hardware engineers to take features from test track to deployment</li></ul><p><br></p><p><strong>What You Bring</strong></p><ul><li>3+ years building perception systems that have run on real robots or vehicles, not only curated datasets</li><li>Strong computer vision skills: detection, tracking and segmentation on live sensor feeds</li><li>Hands-on experience with SLAM, point cloud processing and multi-sensor calibration</li><li>Experience with sensor fusion (e.g. Kalman filtering, factor graphs or learned fusion approaches)</li><li>Strong Python and C++, </li><li>Experience deploying models to edge or embedded GPU hardware</li><li>Comfort with ROS/ROS 2 and field testing</li><li>Ownership mindset</li></ul><p><br></p><p><strong>Nice to Have</strong></p><ul><li>Model compression and optimisation (quantisation, pruning, TensorRT or similar)</li><li>Experience with fleet data infrastructure and MLOps for continuous model improvement</li><li>Exposure to simulation environments for perception testing</li></ul><p><br></p><p><strong>Why Apply</strong></p><ul><li>Build technology that runs on real vehicles in real missions</li><li>Early-stage ownership in a fast-growing startup</li></ul><p><br></p>