Machine Learning Engineer / Data Scientist
Datamatics Technologies (company site, opens in a new tab)6+ yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, validate, deploy, and monitor machine learning models for business and operational use cases in a complex enterprise environment.
- Build and maintain reproducible ML pipelines including model versioning, deployment, retraining, and monitoring using enterprise data platforms.
- Translate analytical requirements into predictive and optimization solutions integrated into business workflows.
Minimum Requirements
- Minimum 6 years of data science or machine learning experience including at least 3 years of hands-on model development and production deployment.
- Must have advanced Python skills including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
- Hands-on experience with Azure Machine Learning platform (notebooks, experiments, pipelines, model registry, managed endpoints, monitoring).
- Onsite position in Abu Dhabi; English required; Arabic speaking preferred.
Ideal Candidate Profile
- Proven track record delivering end-to-end ML solutions in complex enterprise environments indicating ability to handle operational scale.
- Experienced in ML Ops tools and workflows such as MLflow, Git, Azure DevOps, CI/CD, Docker, APIs for production ML deployment.
- Strong applied knowledge of multiple ML techniques including regression, classification, forecasting, anomaly detection, optimization, and model explainability.