[T02] AI Engineer

Key Responsibilities

• Lead the architecture, development, and deployment of production-grade ML solutions for geospatial applications.
• Design scalable ML systems and integrate AI components into end-to-end platforms with software engineering teams.
• Drive MLOps best practices, including deployment, monitoring, model performance, reliability, and continuous improvement.
• Translate business objectives into technical requirements and delivery plans in collaboration with product, sales, and business development teams.
• Mentor engineers, guide technical decisions, and support pre- and post-sales activities.

Requirements

• Degree in Computer Science, Electrical Engineering, or a related discipline.
• 5+ years of experience delivering production ML solutions.
• Strong knowledge of machine learning/deep learning, including model development, evaluation, and optimisation.
• Proficient in Python with hands-on experience in PyTorch, scikit-learn, OpenCV, or similar frameworks.
• Experience deploying ML services, developing APIs (Flask/FastAPI/Node.js), and using Docker.
• Experience with LLMs, RAG, retrieval optimisation, and graph databases is an advantage.
• Strong ownership, communication, stakeholder management, problem-solving, and mentoring skills.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.