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MLOps Technical Lead

India

Job Description

MLOps Technical Lead

Hyderabad, Telangana

Job Summary

This role is accountable for building, deploying, and maintaining robust machine learning pipelines and operational frameworks. The individual applies solid expertise in ML Ops and DevOps tools to automate workflows, optimize model lifecycle management, and ensure reliable delivery of ML solutions. They contribute to project success by implementing best practices, supporting process compliance, and providing technical input within the team.

Key Responsibilities

1. Implement and maintain ML pipelines using Python, MLflow, Kubeflow Pipelines, and TFX to automate model training, validation, and deployment processes.
2. Apply DevOps practices with Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions to streamline CI/CD for machine learning workflows and monitor pipeline health.
3. Utilize infrastructure-as-code tools such as Terraform and AWS CloudFormation to provision and manage scalable cloud resources for ML workloads.
4. Integrate monitoring solutions like Prometheus, Grafana, ELK Stack, and Fluentd to track model performance, system metrics, and log analytics in production environments.
5. Ensure process compliance by using Git, GitHub, GitLab, and Bitbucket for version control and code management within the team.
6. Participate in technical discussions and feasibility studies to evaluate technical alternatives and support architecture best practices for ML Ops solutions.
7. Prepare and submit status reports to highlight progress, minimize risks, and support project closure activities.

Skill Requirements

Primary skills: Python, ML Pipelines, DevOps

Secondary skills: RAG, Knowledge Graphs

Valuable to have skills:

automation, Prompt Engineering

Retrieval Augmented Generation (RAG)

Knowledge Graphs

1. Solid Proficiency In Ml Ops, Including Automation Of Ml Pipelines And Model Lifecycle Management.
2. Solid Understanding Of Devops Tools Such As Jenkins, Gitlab Ci/Cd, Circleci, And Github Actions For Workflow Automation.
3. Solid Experience With Python For Scripting,



Data Processing, And Ml Pipeline Development.
4. Solid Knowledge Of Infrastructureascode Tools Like Terraform And Aws Cloudformation For Cloud Resource Management.
5. Solid Skills In Monitoring And Logging Tools Including Prometheus, Grafana, Elk Stack, And Fluentd.
6. Solid Familiarity With Version Control Systems Such As Git, Github, Gitlab, And Bitbucket.
7. Solid Ability To Participate In Technical Discussions And Support Process Compliance Within The Team.

Other Requirements

1. Optional but valuable:
2. AWS Certified DevOps Engineer
3. - Google Professional Machine Learning Enginee

Strong CI/CD, release gates, quality gates implementation, Azure preferred, Release gating and deployment blockers, Enterprise deployment platform support

Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Copyright © 2026 HCL Technologies Limited

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📌 MLOps Technical Lead (India)
🏢 HCLTech
📍 India