Job Description:
We are seeking an AI ML Ops Engineer to build and manage scalable AI platforms automate deployment pipelines and ensure operational excellence across AI ML workloads
The role combines MLOps DevOps and platform engineering expertise
Key Responsibilities:

Key Responsibilities
Build and maintain AI ML deployment platforms
Implement CI CD pipelines for AI applications
Deploy serve and monitor machine learning and LLM models
Manage Kubernetes based AI infrastructure
Establish experiment tracking and model governance processes
Enable observability and monitoring across AI systems
Optimize AI platforms for scalability security and reliability
Technical Requirements:

Experience with Azure ML SageMaker Vertex AI or Databricks
Hands on expertise with Jenkins GitHub Actions ArgoCD Kubeflow or MLflow
Knowledge of Responsible AI and model governance frameworks
Preferred Skills:
Technology-
AI-Data science-
Machine Learning,Technology-
AI-Generative AI-
Artificial Intelligence - BASIC,Technology-
AI-Generative AI-
Generative AI for Data Analytics

📌 (Senior) AI DevOps Engineer (m/w/d)
🏢 Infosys
📍 Secunderabad