About the role

You are the engineer who turns models into reliable production systems running against live plant and enterprise data. You own the path from notebook to production deployment, monitoring, retraining including the demanding case of models that feed back into plant control systems where stability and latency are non-negotiable. Without this role, pilots never industrialize.

Key responsibilities
- Build and own CI/CD pipelines for ML; package, deploy and serve models in production (batch, real-time, and edge / on-prem as plant environments demand).
- Stand up and maintain MLOps infrastructure experiment tracking, model registry, feature pipelines and automated retraining.
- Implement model monitoring (performance, data and concept drift, alerting) and ensure reliability and uptime in plant settings.
- Integrate models with operational systems DCS / control systems for advisory and closed-loop use, plant historians and with enterprise systems (SAP, Salesforce).
- Build robust data pipelines feeding the lakehouse from both OT and IT sources.




- Partner with data scientists to productionise their work, and with platform / security teams on OT/IT integration and cybersecurity.
- Champion engineering best practices: testing, versioning, reproducibility and documentation.

Required qualifications (must-have)
- Bachelor's or Master's in Computer Science, Engineering, or a related field.
- 36 years in ML engineering, MLOps, data engineering or software engineering with production ML exposure.
- Solid Python software-engineering fundamentals OOP, type hints, automated testing (pytest), packaging, clean modular code, and version control.
- Solid working command of classical ML (scikit-learn pipelines, regularised regression, tree-based ensembles, clustering) enough to package, serve, optimise and monitor these models reliably in production.
- Hands-on with containerisation (Docker), orchestration (Kubernetes) and workflow tools (Airflow / Prefect / Dagster).
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📌 Senior ML Engineer (Gurugram)
🏢 JK Cement
📍 Gurugram