About the Role
Job Role: - ML Ops Lead
Job Location: - India
Job Type: - Remote
Experience: -7+ Years
Roles & Responsibilities: -
- Design, deploy, and manage scalable, secure, and automated ML/AI platforms across Azure and AWS.
- Lead MLOps lifecycle model deployment, monitoring, retraining, CI/CD orchestration, and drift management.
- Build, maintain, and optimize ML workflows using Azure Machine Learning, Databricks, and AWS SageMaker.
- Integrate ML services with data platforms (Azure Data Lake, Cosmos DB, S3, DynamoDB, RDS).
- Implement governance, observability, compliance, and audit practices across ML and GenAI environments.
- Manage containerized workloads using Docker and Kubernetes (AKS/EKS).
- Develop and maintain Infrastructure as Code using Terraform,...
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