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 and Qualified 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-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics

Educational Requirements :

Bachelor of Engineering,Bachelor Of Technology (Integrated)

Service Line :

Data & Analytics Unit

📌 Senior Ai Engineers Hyderabad
🏢 Infosys
📍 Hyderabad