Senior MLOps Engineer

Job description

This role is responsible for supporting the development and maintenance of machine learning operations workflows, ensuring reliable deployment, monitoring, and automation of ML models and pipelines. The individual applies foundational ML Ops and DevOps skills to deliver assigned tasks efficiently, contributing to the stability and scalability of production ML systems. Key Responsibilities 1. Maintain and troubleshoot ML pipelines using Python and MLflow, resolving bugs and supporting enhancements based on business requirements. 2. Support deployment automation of ML models utilizing Jenkins, GitLab CI/CD, and AWS CloudFormation, ensuring consistent and reliable delivery. 3. Monitor ML workflows and infrastructure using Prometheus and Grafana, identifying and escalating operational issues for timely resolution. 4. Participate in documentation of ML pipeline enhancements and operational procedures, aligning with CMMi and client standards. 5. Collaborate within the team to gather requirements and present data using ELK Stack and Fluentd, supporting day-to-day operational needs. 6. Assist in version control and code management using Git and GitHub, contributing to the maintenance of ML Ops repositories. Skill Requirements 1. Strong Understanding Of Ml Ops Principles And Practices. 2. Experience With Python For Scripting And Ml Pipeline Development. 3. Good Familiarity With Devops Tools Including Jenkins, Gitlab Ci/Cd, And Aws Cloudformation. 4. Good Knowledge Of Monitoring Tools Such As Prometheus And Grafana. 5. Experience With Version Control Systems Like Git And Github. 6. Familiarity With Ml Pipeline Frameworks Such As Mlflow And Kubeflow Pipelines. 7. Basic Understanding Of Infrastructure As Code Tools Like Terraform And Ansible. Other Requirements 1. Optional but valuable: 2. AWS Certified DevOps Engineer � Associate 3. - Certified Kubernetes Administrator (CKA Maximum Salary (US): 99000 Minimum Salary (US): 59000 Apply now 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. Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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