IN Senior Associate MLOps Lead GCC Advisory Hyderabad

About the role

Productionize ML models as robust, low-latency APIs and batch systems integrated into healthcare workflows. Stay up-to-date with evolving trends in MLOps, distributed systems, and the Azure AI ecosystem.

What you'll do

• Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis
• Be responsible for developing and implementing data pipelines, data integration, and data transformation solutions
• Be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities
• Lead the full ML system lifecycle: from experimentation and model development to production deployment and ongoing monitoring
• Design and build scalable, cloud-native MLOps pipelines for training, validation, deployment, and lifecycle management

What you need

• 8–14 yrs of experience
• MLOps
• Machine learning
• Python
• AWS
• NLP
• Deep learning
• B.Tech or B.E.

Good to have

• Azure Data Factory
• Airflow
• Hadoop
• Databricks
• Azure
• CI/CD