Senior AI Engineers

Key skills

• Machine Learning
• Databricks
• Azure
• Kubernetes
• Generative AI
• LLMs
• CI/CD
• AI

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.

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.

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.

Preferred Skills:

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

Apply on the official Infosys careers page

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