Senior MLOps Engineer

Job Overview

We are looking for a Senior MLOps Engineer to join our hybrid team in Bangalore. The candidate will be responsible for managing ML model lifecycles, maintaining CI/CD pipelines, and optimizing big data workflows. The ideal candidate has a strong DevOps background, hands-on experience with Kubernetes, AWS, and MLOps best practices.

Key Responsibilities

• Manage end-to-end model lifecycle, onboarding new ML models onto the platform with standardized automation.
• Maintain and enhance CI/CD pipelines for Search and ML services.
• Operate daily release sign-offs and deployment processes.
• Maintain and optimize big data training pipelines with an emphasis on cost efficiency and reliability.
• Collaborate with cross-functional teams to improve ML deployment and monitoring workflows.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in software engineering, DevOps, or MLOps roles.
• Strong hands-on experience with Kubernetes and AWS (EKS).
• In-depth understanding of Linux environments and container orchestration.
• Familiarity with CI/CD tools and modern MLOps practices.
• Strong analytical and problem-solving skills.
• Experience working in distributed and collaborative team environments.