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 settings
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