AI/ML 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. 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. (EA Reg No: 20C0312) Please email a copy of your detailed resume to  qianyu@talentsis.com.sg  for immediate processing. Only shortlisted candidates will be notified.