[T02] AI Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TALENTSIS PTE. LTD. in Singapore seeks a Senior ML Engineer to lead the architecture, development and deployment of production-grade ML solutions for geospatial applications.

You will design scalable ML systems and partner with software engineering teams to integrate AI components into end-to-end platforms. This role drives MLOps best practices, including deployment, monitoring, model performance, reliability and continuous improvement, while mentoring engineers and supporting pre- and

Qualifications

• Degree in Computer Science, Electrical Engineering, or related discipline.
• 5+ years delivering production ML solutions.
• Proficient in Python with PyTorch, scikit-learn, OpenCV or similar.
• Experience deploying ML services and developing APIs; Docker experience.

Responsibilities

• Lead architecture, development, and deployment of production-grade ML solutions for geospatial apps.
• Design scalable ML systems and integrate AI components with software teams.
• Drive MLOps including deployment, monitoring, model performance, reliability.
• Translate business objectives into technical requirements and delivery plans with cross-functional teams.
• Mentor engineers and support pre- and post-sales activities.

Skills

Ownership

Communication

Stakeholder management

Problem-solving

Mentoring

Education

Degree in Computer Science or Electrical Engineering

Tools

Python

PyTorch

scikit-learn

OpenCV

Flask/FastAPI/Node.js

Docker

Job description

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)