MLOps Lead

Location: Current DelhiNCR
Experience: 710 years

Educational Qualification:

B.Tech/B.E./M.Tech in Computer Science, AI/ML, Information Technology, or a related discipline. Cloud, DevOps, or MLOps certifications are preferred.

Mandatory Requirements

- Experience building and managing production ML deployment platforms and CI/CD/CT pipelines.
- Strong knowledge of containerization, orchestration, cloud infrastructure, monitoring, and automation.
- Experience with model versioning, reproducibility, model lifecycle management, and drift monitoring.
- Ability to lead MLOps practices and collaborate with data science and engineering teams.

Key Responsibilities

- Design and manage scalable infrastructure and workflows for deploying and operating ML models.




- Build automated pipelines for testing, packaging, deployment, monitoring, and rollback.
- Standardize model registries, version control, reproducibility, release management, and environment configuration.
- Implement observability for model quality, latency, availability, cost, and drift.
- Guide the team on reliability, security, governance, incident management, and continuous improvement.

Technical Competencies

MLflow, DVC, Docker, Kubernetes, Jenkins/GitLab CI/GitHub Actions, Terraform, Python, Bash, Linux, AWS/Azure/GCP, Prometheus, Grafana, and model monitoring.

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