About the Role

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.

Required Skills
Experience of 3+ years





Solid 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
Prospect to work on cutting-edge AI and cloud infrastructure projects
Exposure to real-world AI model deployment
Fast-paced workplace with strong learning opportunities

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

Work Location: In person

📌 Devops Engineer Ahmedabad (India)
🏢 Unada Labs
📍 India