Senior AI Engineers

Infosys; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Infosys seeks 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 blends MLOps, DevOps and platform engineering, with hands-on work on Azure ML, SageMaker, Vertex AI and Kubernetes-based infrastructures.

You will establish governance, observability, and scalable pipelines to support ongoing AI initiatives in enterprise environments.

Qualifications

• 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

• 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.

Skills

MLOps

DevOps

Platform engineering

Education

Bachelor of Engineering, Bachelor Of Technology (Integrated)

Tools

Azure ML

SageMaker

Vertex AI

Databricks

Jenkins

GitHub Actions

ArgoCD

Kubeflow

MLflow

Job description

Job Summary

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.

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.

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.

Qualifications

• Bachelor of Engineering, Bachelor Of Technology (Integrated)

Skills

• Technology->AI-Data science->Machine Learning
• Technology->AI-Generative AI->Artificial Intelligence - Basic
• Technology->AI-Generative AI->Generative AI for Data Analytics

Service Line

Data Analytics Unit