Responsibilities:
- Collaborate with data scientists and business stakeholders to define ML solutions and develop Proof of Concepts (PoCs).
- Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD).
- Build and maintain scalable data pipelines and monitor model performance.
- Ensure models comply with organizational AI policies, responsible AI practices, and audit requirements.
- Support data exploration, feature engineering, and occasional model building.
- Automate model retraining, testing, and monitoring to maintain long-term performance.
- Document ML workflows, governance checkpoints, and risk assessments.
- Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.
Requirements:
- Masters degree in AI, ML, or Data Science.
- 6+ years in data science/ML, with 3+ years in ML engineering.
- Experience across the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
- Strong Python programming skills (pandas, scikit-learn, TensorFlow/PyTorch).
- Experience with NoSQL databases; Graph database experience desirable.
- Hands-on with MLOps tools (MLflow, TFX, Airflow, Kubeflow, etc.).
- Familiarity with cloud platforms (GCP, AWS, Azure) for ML deployment.
- Solid knowledge of data science techniques (supervised/unsupervised learning, NLP, time series).
- Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
- Understanding of AI governance, model risk management, and regulatory requirements.
- Ability to communicate technical concepts to non-technical stakeholders.
Preferred:
- Experience with Responsible AI frameworks and bias/fairness testing.
- Exposure to feature stores, model registries, and data versioning.
- Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).
To apply, please visit and search for Job Reference: 9396Y33Y
To learn more about this opportunity, please contact Yingying at
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R
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e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions.
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