DevOps+MLOps+PythonML Developer

Infosys Limited is seeking a DevOps+MLOps+PythonML Developer in Bangalore for its Data & Analytics Unit. The role focuses on deploying and operating applications, machine-learning models and LLM-based services in production.

Responsibilities

• Design and maintain CI/CD pipelines for applications and ML services; automate infrastructure provisioning and configuration across environments.
• Establish monitoring, logging and alerting to support observability and incident response. Maintain secure access controls, secrets management and development and production environments.
• Build Python-based pipelines for model training, validation, packaging and deployment. Support model versioning, reproducibility, automated data and model quality checks, and controlled rollouts such as canary or blue-green deployment.
• Work with data science teams to put models into production and define operational SLAs for ML endpoints and batch jobs.
• Support scalable LLM inference, prompt and version management, and runtime monitoring. Integrate LLM capabilities into existing platforms with attention to reliability, latency and cost.

Required qualifications

• A bachelor's degree or equivalent in engineering, technology or computer science; listed acceptable qualifications include BE, BTech, MTech, MCA and MSc.
• 3–5 years of DevOps- and MLOps-focused delivery experience with production systems; hands-on Python ML workflows and experience operationalizing models as services or batch pipelines.
• Understanding of CI/CD, release management and environment promotion, plus experience with production monitoring, reliability and troubleshooting.

Preferred qualifications and tools:

• End-to-end MLOps pipelines, deployment automation and lifecycle governance; LLM inference deployment, prompt iteration, evaluation and monitoring; containerization and orchestration for ML workloads; infrastructure automation; and collaboration across data science and engineering teams.
• Kubernetes, Docker, Terraform, MLflow and Apache Airflow are listed as good-to-have skills. The technical requirements also list a turbomachinery/compressor/rotor domain classification.