Senior AI Engineers

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 Professional 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

• Machine Learning
• Artificial Intelligence – BASIC
• Generative AI for Data Analytics

Educational Requirements

Bachelor of Engineering,Bachelor Of Technology (Integrated)