Senior AI Engineer: ML Systems & MLOps Leader

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

Job summary

TALENTSIS PTE. LTD. seeks a seasoned ML lead to architect, develop, and deploy production-grade machine learning solutions for forgeospatial applications.

You will collaborate with software engineers to integrate AI components into end-to-end platforms. You will own model performance and system reliability, drive MLOps practices, deployment, and monitoring, while translating business goals into technical requirements and delivery plans.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related discipline.
• Minimum 5 years delivering production ML solutions.
• Strong foundation in ML and DL, including model development, evaluation and optimization.
• Proficient in Python with hands-on experience in ML frameworks (PyTorch, scikit-learn) and OpenCV.
• Experience deploying and operating ML services, including API development (Flask/FastAPI/Node.js) and Docker.
• Experience with LLMs, retrieval-augmented generation, retrieval optimization, and graph databases is a plus.

Responsibilities

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

Skills

Python

ML/DL fundamentals

PyTorch

scikit-learn

LLMs & RAG

ownership

Education

Bachelors in CS/EE or related

Tools

Flask

FastAPI

Node.js

Docker

OpenCV

Graph databases

Job description

TALENTSIS PTE. LTD. seeks a seasoned ML lead to architect, develop, and deploy production-grade machine learning solutions for forgeospatial applications.

You will collaborate with software engineers to integrate AI components into end-to-end platforms. You will own model performance and system reliability, drive MLOps practices, deployment, and monitoring, while translating business goals into technical requirements and delivery plans.