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

📌 MLOps Lead (Noida)
🏢 Vrinda International
📍 Noida