ML Ops Lead

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, Bicep, CloudFormation, or CDK.
• Collaborate with stakeholders to resolve ML pipeline issues and ensure efficient production delivery.
• Conduct testing (unit / integration) as part of CI / CD pipelines via Azure DevOps or AWS CodePipeline.
• Apply security best practices RBAC, IAM, least privilege, authentication, and key management.
• Monitor systems using Grafana, Prometheus, Azure Monitor, and Log Analytics.

Skills & Requirements : -