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Trinity Consulting Services (“TRINITY”)

Machine Learning Engineer

Trinity Consulting Services (“TRINITY”)
Singapore · Full-time · Mid-Senior
  • 6+ years of experience in data science and machine learning, with at least 3+ years in ML engineering roles.
  • Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
  • Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).
  • Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
  • Experience with MLOps tools: MLflow, TFX, Airflow, Kubeflow, or similar.
  • Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.
  • Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
  • Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
  • Strong understanding of AI governance, model risk management, and regulatory requirements in AI.
  • Ability to communicate technical concepts to non-technical stakeholders.

Key Skills

Ranked by relevance

containerization machine learning kubeflow python docker pandas mlflow nosql cloud mlops cicd aws gcp ai
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Country Guide

Singapore

High-pay global hub in Asia

Posted
Oct 07, 2025
Type
Full-time
Level
Mid-Senior
Location
Singapore
Company
Trinity Consulting Services (“TRINITY”)

Industries

IT Services IT Consulting

Categories

Information Technology

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