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Trinity Consulting Services (“TRINITY”)
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Machine Learning Engineer
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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- Posted
- Oct 21, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
Industries
IT Services
IT Consulting
Categories
Information Technology
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