Full Time AI-ML Engineer (Python, PyTorch, Computer Vision, Geospatial) – 5- Yrs Exp [Singapore Based] Jobs, Salary up to SGD 7,000 in TALENTSIS PTE. LTD. North-east Region (Singapore) - Maukerja

About the Role

We're looking for an AI Engineer to provide technical leadership in building and deploying production-grade machine learning solutions for geospatial applications. You'll architect scalable ML systems, work with software engineers to integrate AI components into end-to-end platforms, and mentor teammates along the way.

Key Responsibilities

• Provide technical leadership in the architecture, development, and deployment of production-grade machine learning solutions for geospatial applications
• Architect scalable machine learning systems and partner with software engineers to integrate AI components into end-to-end platforms
• Own model performance and system reliability by driving best practices in MLOps, deployment, monitoring, and continuous improvement
• Work with product, business development, and sales teams to translate business objectives into well-defined technical requirements and delivery plans
• Mentor engineers and guide technical decisions
• Provide technical support for pre- and post-sales activities as required

Requirements

• Background in Computer Science, Electrical Engineering, or a related discipline
• At least 5 years of relevant experience delivering production machine learning solutions
• Solid foundation in machine learning and deep learning, including model development, evaluation, and optimization
• Proficiency in Python, with hands-on experience in ML frameworks (e.g., PyTorch, scikit-learn) and computer vision libraries (e.g., OpenCV)
• Experience deploying and operating ML services, including API development (e.g., Flask, FastAPI, Node.js) and containerisation (e.g., Docker)
• Ownership mindset, with good stakeholder management skills and the ability to mentor and work across teams

Nice to Have

• Experience with large language models (LLMs), retrieval-augmented generation (RAG), and retrieval optimization
• Experience with graph databases

Application Note
Only shortlisted candidates will be contacted.

Pay: $6,000.00 - $7,000.00 per month

Benefits:

• Additional leave
• Dental insurance
• Health insurance
• Vision insurance

Work Location: In person