Senior MLOps Technical Lead

Job Title

Senior MLOps Technical Lead

Experience

8 to 15 Years

Location

Pan India

Work Mode

Hybrid

Job Description

HCLTech is looking for an experienced Senior MLOps Technical Lead to drive enterprise-scale Machine Learning Operations (MLOps), DevOps automation, and AI platform engineering initiatives. The ideal candidate should possess strong expertise in building and managing ML pipelines, automating infrastructure, implementing CI/CD workflows, and ensuring reliable model deployment and monitoring across cloud environments.

This role demands deep technical expertise in Python, ML Pipelines, and DevOps, along with hands-on experience in modern MLOps frameworks and cloud-native technologies.

Key Responsibilities

• Design, develop, and optimize end-to-end Machine Learning pipelines using MLflow, Kubeflow Pipelines, TFX, and Metaflow.
• Automate model training, validation, deployment, and monitoring processes.
• Implement Infrastructure as Code (IaC) solutions using Terraform, AWS CloudFormation, and Ansible.
• Build and manage CI/CD pipelines using Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions.
• Monitor, troubleshoot, and optimize ML systems using Prometheus, Grafana, ELK Stack, and Fluentd.
• Collaborate with Data Science, Engineering, DevOps, and Business teams to deliver scalable AI solutions.
• Drive best practices for version control using Git, GitHub, GitLab, and Bitbucket.
• Conduct technical reviews, feasibility studies, and architecture assessments.
• Provide technical leadership and mentoring to engineering teams.
• Ensure high availability, reliability, and performance of ML environments.

Must-Have Skills

• Python
• ML Pipelines
• DevOps

Required Skills

• Hands-on expertise in MLflow, Kubeflow Pipelines, TFX, and Metaflow.
• Strong Python programming and automation experience.
• Experience with Terraform, AWS CloudFormation, and Ansible.
• Expertise in Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions.
• Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, and Fluentd.
• Strong understanding of cloud infrastructure and deployment strategies.
• Hands-on experience with Git, GitHub, GitLab, and Bitbucket.
• Ability to troubleshoot and optimize large-scale ML environments.
• Experience in enterprise AI/ML and MLOps implementations.

Preferred Skills

• AWS / Azure / GCP
• Docker & Kubernetes
• MLOps Platform Engineering
• AI/ML Model Governance
• Generative AI & LLM Operations

Why Join HCLTech?

• Work on cutting-edge AI and MLOps transformation programs.
• Opportunity to lead enterprise-scale ML platform initiatives.
• Collaborative and innovative work environment.
• Exposure to global clients and advanced cloud technologies.

Interested Candidates

Kindly drop your resume to: [email removed]

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