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 Engineers (Secunderabad)
🏢 Infosys
📍 Secunderabad