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 Dev Ops teams.
If you have robust 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 Scientists, ML Engineers, and Software Engineers to productionize ML solutions
Ensure ML governance, security, compliance, reproducibility,



and version control
Maintain feature stores, model registries, and ML lifecycle tools. Troubleshoot and debug production ML systems.
Required Technical Skills-
Python programming for ML and automation
Machine Learning frameworks: Tensor Flow, Py Torch, Scikit‑learn
MLOps practices and ML lifecycle management
Docker for containerization and Kubernetes for orchestration
CI/CD tools: Git Hub Actions, Jenkins, Argo CD
Cloud platforms: AWS / Microsoft Azure / Google Cloud Platform.
Location of posting -
Infosys Ltd. is committed to ensuring you have the best experience throughout your journey with us.
We currently have open positions in a number of locations across India - Bangalore, Pune, Hyderabad, Chennai, Chandigarh, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Kolkata, Coimbatore, Jaipur.
While we work in accordance with business requirements, we shall strive to offer you the

📌 Machine learning engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru