Lead Machine Learning Engineer

MLOps Lead

Location: New 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.