• Primary skills: DevOps/MLOps/PythonML -Domain->Turbomachinery->Compressor->Rotor,Technology->Data Science->Machine Learning,Technology->DevOps->Continuous delivery - Continuous deployment and release,Technology->Machine Learning->Python

Key Responsibilities: DevOps & Platform Enablement

• Design, implement, and maintain CI/CD pipelines for applications and ML services across environments.
• Automate infrastructure provisioning and configuration to improve reliability, repeatability, and deployment speed.
• Establish monitoring, logging, and alerting practices to improve system observability and incident response.
• Ensure secure access controls, secrets management, and workplace hygiene across development and production. MLOps & ML Delivery
• Build and maintain ML pipelines for training, validation, packaging, and deployment of models using Python-based workflows.
• Enable model versioning, reproducibility, and controlled rollouts (e.g., canary/blue-green) for ML services.




• Partner with data science teams to productionize models and define operational SLAs for ML endpoints and batch jobs.
• Implement automated quality checks for data/model artifacts to reduce regressions and improve release confidence. LLM Enablement
• Support deployment patterns for LLM-based services, including scalable inference, prompt/version management, and runtime monitoring.
• Collaborate on integrating LLM capabilities into existing platforms with a focus on reliability, latency, and cost awareness. Minimum Qualifications:
• Bachelor’s degree or equivalent in Engineering/Technology/Computer Science (BTech/BE or equivalent); Master’s (MTech/MCA/MSc) is acceptable as listed.
• 3–5 years of experience in DevOps and MLOps-focused delivery for production systems.
• Hands-on experience with Python-based ML workflows and operationalizing ML models into services or batch pipelines.
• Strong understanding of CI/CD concepts, release management, and environment promotion strategies.
• Experienc

📌 DevOps+MLOps+PythonML Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru