DevOps Engineer

Role Overview

We are looking for a DevOps Engineer with experience in building and managing CI/CD pipelines, cloud infrastructure, and AI/ML deployment environments. The candidate will work closely with the development and AI research teams to ensure smooth deployment, scalability, and reliability of applications and AI models.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for applications and AI/ML workflows.
• Manage and optimize cloud infrastructure on AWS and Azure.
• Deploy and manage AI/ML models and inference services.
• Work with Hugging Face models, transformers, and model hosting workflows.
• Containerize applications using Docker and manage orchestration using Kubernetes (preferred).
• Implement Infrastructure as Code (IaC) using tools such as Terraform or similar.
• Automate deployments, monitoring, and scaling of services.
• Monitor system performance, uptime, logs, and security.
• Troubleshoot infrastructure, deployment, and pipeline issues.

Requirements

• Experience of 3+ years
• Strong experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.)
• Hands-on experience with AWS and/or Azure cloud services
• Experience with Docker and containerized environments
• Familiarity with Hugging Face ecosystem (Transformers, model deployment, inference APIs)
• Knowledge of Linux systems and shell scripting
• Understanding of networking, security, and scalable infrastructure
• Basic knowledge of AI/ML deployment pipelines

Preferred Skills

• Experience with Kubernetes or container orchestration
• Exposure to ML Ops pipelines
• Experience with Azure ML, AWS SageMaker, or GPU workloads
• Knowledge of Python for automation or ML workflows

What We Offer

• Opportunity to work on cutting-edge AI and cloud infrastructure projects
• Exposure to real-world AI model deployment
• Fast-paced environment with strong learning opportunities

Pay: ₹40,000.00 - ₹57,000.00 per month

Work Location: In person