Machine Learning Engineer

About EXL

EXL is a global analytics and digital solutions provider collaborating with clients to enhance business performance and foster growth. Combining deep industry knowledge with advanced data, analytics, cloud, and AI capabilities, EXL delivers flexible, scalable solutions and manages complex operations for leading firms across sectors such as insurance, healthcare, banking and financial services, media, and retail. Founded on principles of innovation, teamwork, excellence, integrity, and respect, EXL's workforce exceeds 34,000 globally, with over 50 offices across six continents. EXL does not charge any fees during recruitment and only offers jobs post rigorous interviews by HR and hiring managers.

Position Overview

The Machine Learning Engineer will be responsible for developing and managing end-to-end machine learning operations and deployment workflows.

Key Responsibilities and Skills Required

• Create and maintain CI/CD pipelines utilizing Jenkins, GitHub Actions, GitLab CI/CD, or equivalent tools to automate machine learning workflows.
• Develop robust data processing and model deployment pipelines primarily using Python and PySpark.
• Implement containerization and orchestration of ML models leveraging Docker and Kubernetes technologies.
• Utilize version control systems such as Git, GitHub, or GitLab for managing codebase and model releases.
• Operate in cloud environments including AWS, Azure, or Google Cloud Platform (preferably) to deploy and manage ML services.

Eligibility Criteria

Any graduate can apply for this role.