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: -

• Experience: 7+ years in cloud platform engineering and ML operations.
• Cloud Platforms: Azure (AI Services, ML, AKS, Functions) and AWS (SageMaker, Bedrock, Lambda).
• ML & AI: Strong in Python, TensorFlow, PyTorch, Scikit-learn, and end-to-end ML lifecycle management.
• GenAI Tools: Azure OpenAI, Bedrock, LangChain; understanding of prompt injection and jailbreak mitigation.
• IaC & DevOps: Hands-on with Terraform, Bicep, CloudFormation, CDK, Azure DevOps, CodePipeline.
• Security: IAM, RBAC, Azure Policy, AWS SCP, Key Vault, Audit Logging.
• Networking: DNS, Load Balancers, VPNs, VNets.
• Monitoring: Grafana, Prometheus, Application Insights, Azure Monitor.
• Databases: Azure SQL, Cosmos DB, AWS S3, RDS, DynamoDB, Redshift.
• Preferred Tools: GitHub Copilot, Cursor, Claude Code, M365 Copilot.
• Soft Skills: Strong problem-solving, stakeholder collaboration, and documentation abilities.