Product Intelligence AI Engineer: End-to-End ML Lead

IT Consultancy & Services Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

IT Consultancy & Services Pte Ltd in Singapore is seeking an AI Engineer - Product Intelligence (ref: 120) to design, develop, and deploy AI/ML models across sensor, time-series, telemetry, and image data. You will lead projects, define data requirements with domain experts, and work on end-to-end AI solutions in a dynamic team.

The role emphasizes collaboration with software, hardware, and cloud teams, model deployment across cloud/edge/embedded environments, and using AI-assisted coding tools

Qualifications

• Bachelor’s degree in CS, AI, or related field with at least 3 years in AI/ML.
• Strong Python with PyTorch, TensorFlow, or scikit-learn.
• Experience with real-world sensor/time-series data.
• Ability to lead AI projects end-to-end.
• Familiarity with CI/CD, APIs, documentation.

Responsibilities

• Develop and evaluate ML/DL models for sensor, time-series, telemetry, and image data.
• Define data requirements, features, labels, metrics, and acceptance criteria with domain experts.
• Build prototypes, run experiments, and perform error analysis.
• Deploy validated models for cloud, edge, embedded, or hybrid environments.
• Lead AI projects from problem definition to deployment.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.
• Leverage AI-assisted coding tools to improve development and research.

Skills

Python programming

PyTorch

TensorFlow

scikit-learn

End-to-end AI projects

Education

Bachelor’s degree in CS/AI

Tools

MLflow

Docker

Kubernetes

Git

Job description

IT Consultancy & Services Pte Ltd in Singapore is seeking an AI Engineer - Product Intelligence (ref: 120) to design, develop, and deploy AI/ML models across sensor, time-series, telemetry, and image data. You will lead projects, define data requirements with domain experts, and work on end-to-end AI solutions in a dynamic team.

The role emphasizes collaboration with software, hardware, and cloud teams, model deployment across cloud/edge/embedded environments, and using AI-assisted coding tools