Job Description

MLOps Engineer Location: India Job Type: Full-time, Remote Experience Level: Mid-Level 3+yrs About the Role We are looking for an MLOps Engineer to design, build, and operate production-grade infrastructure and pipelines for Machine Learning (ML), Deep Learning and Generative AI (GenAI) solutions.

Your primary focus is ensuring these systems are reliable, scalable, observable, and secure across the full lifecycle—training, deployment, monitoring, and retraining.

This is a hands-on role at the intersection of ML engineering and cloud/platform reliability.

While MLOps is the top priority, there is room to contribute to AI solution implementation (model integration/experimentation) if you’re interested and bandwidth allows.

You will work closely with AI engineers, DevOps, and the Data & AI Architect to standardize and scale repeatable production patterns.

Key Responsibilities Design, implement, and maintain end-to-end pipelines covering training,...

Ready to Apply?

Take the next step in your AI career. Submit your application to PairSoft today.

Submit Application