Machine Learning Engineer
Trinity Consulting Services (“TRINITY”)Singapore16 hours ago
Full-timeInformation Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
- 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 relevanceReady to apply?
Join Trinity Consulting Services (“TRINITY”) and take your career to the next level!
Application takes less than 5 minutes