ML Ops Lead (Nagpur)

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: Solid 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. 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: Solid 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.