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
for immediate processing.
Only shortlisted candidates will be notified.
Talentsis Pte Ltd is a new-age talent acquisition and staffing service company. The company aims to be a one-stop service to provide a full spectrum of HR related services, including but not limited to the following:
Recruitment and Talent Acquisition
Executive Search
Headhunting
Contract & Flexible Staffing
Manpower Outsourcing
Reskilling & Upskilling
HR Consultancy & Advisory Service
(EA Reg No: 20C0312)