We are looking for a skilled MLOps Engineer to support end-to-end model deployment, automation, and monitoring.

? Position: MLOps Engineer

? Location: India

? Experience: 3–6 Years

? Educational Qualification:
- B.Tech / M.Tech in Computer Science, AI/ML, or related discipline
- Certifications in AWS, Azure, or GCP (preferred)
- Open-source contributions, research papers, or case studies are a plus

Requirements
Key Responsibilities:
- Deploy and manage AI/ML models across development, staging, and production
- Build and maintain CI/CD pipelines for ML workflows
- Implement monitoring for model drift, latency, and performance
- Collaborate with Solution Architect and MLOps Lead for infrastructure setup
- Ensure model versioning, reproducibility, and rollback mechanisms




- Integrate AI services with APIs and observability frameworks
- Maintain logs, reports, and deployment records for audit readiness

? Technical Skills Required:

? CI/CD & DevOps:
- Jenkins, GitLab CI/CD

? Containerization & Orchestration:
- Docker, Kubernetes

? Monitoring & Logging:
- Prometheus, Grafana, ELK Stack

? MLOps Tools:
- MLflow, Kubeflow, DVC

? Cloud Platforms:
- AWS SageMaker, Azure ML Studio, GCP Vertex AI

? Programming & Scripting:
- Python, Bash, YAML/JSON

? Infrastructure as Code:
- Terraform

📌 MLOps Engineer (Noida)
🏢 Vrinda International
📍 Noida