MLOps Engineer

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