AI DevOps Engineer

Yantran; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Yantran is seeking an AI DevOps Engineer to architect and automate deployment, infrastructure, and monitoring for AI/ML and GenAI apps. You will build CI/CD pipelines, automate model deployment, and manage scalable cloud infrastructure.

Responsibilities include deploying LLM/ML workloads, enabling containerization with Kubernetes, and implementing security and observability solutions to optimize performance and cost.

Qualifications

• Experience in building and maintaining CI/CD pipelines for AI/ML applications.
• Hands-on with containerization, orchestration, and IaC tooling.
• Strong cloud experience across AWS/Azure/GCP and security best practices.

Responsibilities

• Build CI/CD pipelines for AI applications.
• Automate AI model deployment.
• Manage cloud infrastructure.
• Deploy LLM and ML applications.
• Implement containerization and Kubernetes.
• Build monitoring and observability solutions.
• Automate infrastructure using IaC.
• Implement security and access controls.
• Optimize cloud infrastructure and AI workloads.

Skills

DevOps

AI/ML

GenAI/LLMs

Docker

Kubernetes

Terraform

CI/CD

Python

AWS/Azure/GCP

GitHub Actions/Jenkins/Azure DevOps

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

GitHub Actions

Jenkins

Azure DevOps

Job description

Seeking an AI DevOps Engineer to build deployment, automation, infrastructure, and monitoring capabilities for AI/ML and GenAI applications.

Responsibilities:

• Build CI/CD pipelines for AI applications.
• Automate AI model deployment.
• Manage cloud infrastructure.
• Deploy LLM and ML applications.
• Implement containerization and Kubernetes.
• Build monitoring and observability solutions.
• Automate infrastructure using IaC.
• Implement security and access controls.
• Optimize cloud infrastructure and AI workloads.

Required Skills:

• DevOps.
• AI/ML.
• GenAI/LLMs.
• Docker.
• Kubernetes.
• Terraform.
• CI/CD.
• Python.
• AWS/Azure/GCP.
• GitHub Actions/Jenkins/Azure DevOps.