MLOps Lead

Corover; Delhi; Hybrid; INR 1,600,000 - 4,000,000; Full time

Job summary

Corover in Delhi NCR is seeking an experienced MLOps Lead to own how AI/ML models are built, deployed and monitored in production on a large-scale government project. This is a full-time role requiring strong hands-on expertise in ML Ops, CI/CD, and scalable infrastructure.

You will design end-to-end pipelines, manage model versioning, deployment, monitoring, and compliance with Responsible AI guidelines, while collaborating with cross-functional teams and government stakeholders.

Qualifications

• B.Tech in Computer Science, Data Engineering, AI or a related field.

Responsibilities

• Design and manage CI/CD pipelines for AI/ML models across multiple environments
• Set up model versioning, deployment, monitoring and rollback
• Automate training, testing and serving workflows using containers
• Build infrastructure-as-code templates for on-premise and cloud deployments
• Set up logging, monitoring and alerting to keep models accurate and available
• Ensure compliance with Responsible AI guidelines, including bias auditing and explainability tracking

Skills

CI/CD pipelines

MLOps

DevOps

Model monitoring

Education

B.Tech in Computer Science or related field

Tools

Docker

Kubernetes

Infrastructure as Code

Microservice architectures

Job description

We are looking for an experienced MLOps Lead to own how AI/ML models are built, deployed and monitored in production on a large-scale government project.

Location: Delhi NCR Experience: 7-10 years in machine learning operations or DevOps engineering Type: Full-time Notice period: Immediate to 30 days preferred

What you'll do:

• Design and manage CI/CD pipelines for AI/ML models across multiple environments
• Set up model versioning, deployment, monitoring and rollback
• Automate training, testing and serving workflows using containers
• Build infrastructure-as-code templates for on-premise and cloud deployments
• Set up logging, monitoring and alerting to keep models accurate and available
• Ensure compliance with Responsible AI guidelines, including bias auditing and explainability tracking

What we are looking for:

• B.Tech in Computer Science, Data Engineering, AI or a related field
• 4+ years building CI/CD pipelines for ML model deployment in enterprise or government environments
• Strong experience with Docker, Kubernetes and microservice architectures