Machine Learning Engineer

We are looking for a highly skilled MLOps Engineer to design, build, and manage end‑to‑end machine learning pipelines and production‑grade ML infrastructure. This role focuses on scalable ML deployment, monitoring, automation, and lifecycle management, while bridging the gap between Data Science, Engineering, and DevOps teams.

If you have strong expertise in ML model deployment, CI/CD for ML, cloud platforms, and Kubernetes, this is an excellent opportunity to work on enterprise‑scale AI/ML systems.

Key Responsibilities-
Design, build, and maintain CI/CD pipelines for machine learning models and data pipelines
Automate model training, validation, testing, deployment, and rollback
Deploy ML models as REST APIs / microservices in production environments
Implement model monitoring, data drift detection, and performance tracking
Manage and optimize cloud infrastructure (AWS / Azure / GCP) for scalability and cost efficiency
Work closely with Data Scienti...

Ready to Apply?

Submit your application today and join our talented team at Infosys.

Submit Application