IN_Manager_ML Ops Lead_Data and Analytics_Advisory_Hyderabad
Core
Lead the full ML system lifecycle from experimentation to production deployment and monitoring for healthcare clients.
Role type
Senior IC MLOps Lead (Healthcare)
Builds
Scalable, cloud-native MLOps pipelines and production-grade ML APIs/batch systems integrated into healthcare workflows.
Domain
Healthcare + Cloud Infrastructure (Azure)
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Python, Azure, Azure Kubernetes Service (AKS), CI/CD, Model Versioning, Observability, Distributed Systems, Transformers/NLP, Representation Learning
Preferred skills
Healthcare Revenue Cycle domain expertise
Technologies
Azure, AKS, Python
Responsibilities
Lead full ML system lifecycle from experimentation to production; Design and build scalable cloud-native MLOps pipelines; Develop and manage ML infrastructure on Azure/AKS; Implement best practices for model versioning, CI/CD, and observability; Productionize ML models as robust APIs and batch systems; Monitor model performance and detect drift; Mentor teams on MLOps practices and cloud engineering.
Seniority
Senior, hands-on IC with mentorship
