Educational Qualification:
- B.Tech / M.Tech / M.S. in Computer Science, Data Engineering, AI or related
- discipline.
- Certification in cloud DevOps or MLOps platforms (AWS DevOps Engineer, Azure DevOps Expert, GCP Qualified ML Engineer) is highly desirable.
- Contributions to MLOps or DevOps open source projects is preferred.

Experience:
- 7-10 years in machine learning operations or DevOps engineering.
- Minimum 4 years building CI/CD pipelines for AI/ML model deployment in enterprise or government ecosystems.
- Proven experience with containerized and microservice architectures.

Key Responsibilities:
- Design and manage continuous integration and delivery (CI/CD) pipelines for AI/ML models across multiple environments.
- Establish model versioning, deployment, monitoring, and rollback mechanisms to ensure stability and traceability.
- Automate training, testing, and serving workflows using containerized solutions.
- Define infrastructure-as-code templates for scalable AI deployment on on-prem or cloud environments.




- Collaborate with Data Science and Engineering teams to standardize model input/output formats and performance metrics.
- Implement logging, monitoring, and alerting for deployed models to ensure high availability and accuracy over time.
- Ensure compliance with Responsible AI guidelines for deployment, including bias auditing and explainability tracking.

Technical Competencies:
- MLOps Platforms: MLflow, Kubeflow, Azure ML, AWS SageMaker Pipelines, GCP Vertex AI Pipelines for end-to-end ML workflow orchestration
- Containerization: Docker, Kubernetes, Helm charts, container registries, and microservices architecture for ML workloads
- CI/CD: Jenkins, GitLab CI, GitHub Actions, Azure DevOps with specialized ML pipeline integration and automated testing
- Infrastructure-as-Code: Terraform, CloudFormation, Ansible for reproducible ML infrastructure provisioning and management
- Cloud Platforms: AWS (EKS, Lambda, ECR, S3), Azure (AKS, Container R

📌 MLOps Lead (Delhi)
🏢 The National e-Governance Division, Digital India
📍 Delhi