Role: MLOps Engineer

Location: PAN INDIA

Exp range: 6+ years

Tech stack: PyTorch, TensorFlow, Scikit-learn, Visualization and Reporting Tools (e.g., Power BI, Tableau/Qlik Sense), SAS schedulers/Jobs

Responsibilities:

- Design, develop and maintain dashboards and reports using tools like Power BI, Tableau, Qlik Sense, SSRS
- Optimize SAS jobs, Develop and maintain changes to SAS code
- Design, develop and maintain dashboards and SAS reports
- Support and administer enterprise-scale analytics delivery with platform administration skills across SAS and Power BI
- Implement CI/CD pipelines for data workflows and analytics applications in AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) and building end-to-end ML pipelines
- Model deployment, training, validation, monitoring, and orchestration on any cloud platforms (AWS, Azure, or GCP)
- Deploy and monitor ML models across environments
- Provide regular updates on progress and align deliverables with business objectives.
- Partner with Data Scientists, Analysts and Platform teams to translate requirements into operational solutions; maintain documentation for deployments, monitoring, access, and support procedures.

📌 ML OPS Engineer (Noida)
🏢 Tata Consultancy Services
📍 Noida