Machine Learning Engineer (dsc/sn)

ST Engineering

Jurong East, Singapore
On-site
Agentic ai models
Ml frameworks (pytorch, tensorflow)
Mlops pipelines
Design and implement agentic AI models capable of autonomous decision-making, planning, and tool use in complex environments

Job Summary

  • Design and implement agentic AI models capable of autonomous decision-making, planning, and tool use in complex environments.
  • Develop and train machine learning models tailored for both simulation-based (digital twin) testing and live production deployment.
  • Contribute to MLOps pipelines, including model versioning, deployment automation, monitoring, and rollback mechanisms.

Matching Summary

Design and implement agentic AI models capable of autonomous decision-making, planning, and tool use in complex environments.

Skills & Requirements

Must-have

  • agentic AI models
  • ML frameworks (PyTorch, TensorFlow)
  • MLOps pipelines
  • containerization (Docker)
  • cloud platforms (AWS, GCP, Azure)

Nice-to-have

  • agent-based modeling
  • digital twin architectures
  • multi-agent coordination

Key Requirements

  • 5+ years of experience in ML engineering or applied AI
  • Experience with model deployment in production
  • Experience with simulation and real-time operational contexts
  • Experience with containerization and orchestration
  • Experience with cloud platforms

Work Rights

Not specified

Tailored Resume

Cover Letter