We are looking for an experienced MLOps Lead to drive automation, deployment, and monitoring of AI/ML solutions across enterprise environments.
? Position: MLOps Lead
? Location: noida
? Experience: 7–10 Years
Requirements
Key Responsibilities:
- Design and manage CI/CD pipelines for AI/ML model deployment
- Implement model versioning, monitoring, and rollback mechanisms
- Automate training, testing, and deployment workflows using containers
- Build Infrastructure -as -Code (IaC) for scalable AI systems
- Collaborate with Data Science teams for standardized pipelines
- Implement logging, monitoring, and alerting systems
- Ensure Responsible AI compliance, including bias tracking and explainability
? Technical Skills Required:
? MLOps Platforms:
- MLflow, Kubeflow
- AWS SageMaker Pipelines, Azure ML, GCP Vertex AI Pipelines
? Containerization & Orchestration:
- Docker, Kubernetes, Helm
? CI/CD Tools:
- GitHub Actions, Azure DevOps
? Infrastructure as Code:
- Terraform, CloudFormation, Ansible
? Monitoring & Logging:
- Prometheus, Grafana
? Workflow Orchestration:
- Airflow, Prefect, Argo