We are looking for Devops Engineer with at least 4-5 years of experience to join our AI/ML team. The ideal Candidate will have strong background in modern DevOps workflows, would be comfortable working across AWS, Azure and on-prem environments and will be able to support our ML Team in deploying and maintaining our ML and LLM based systems.

Key Responsibilities:

• Design, develop, and maintain CI/CD pipelines on Github actions and Azure Devops.
• Manage and optimize infrastructure across AWS, Azure, and on-prem Windows/Linux VMs with IaC.
• Build and manage containerized environments using Docker, Kubernetes (EKS/AKS), and VM-based deployments.
• Assist the team in driving best practices in ML Ops, including versioning, testing, evaluations and automated monitoring.
• Ensure security best practices across deployments, secrets management, and network configurations.

Required Qualifications:

• 4-5+ years of experience in deploying production applications.
• Proven experience with cloud platforms with a strong emphasis on AWS, familiarity with Azure and GCP is a plus.
• Strong Linux and Windows server administration skills.
• Hands on experience with CI/CD using Github Actions and Azure Devops.
• Strong understanding of MLOps tools and practices for monitoring, deployment, and lifecycle management.

Preferred Skills:

• Understanding of ML deployment workflows (preferably LLM-based systems).
• Familiarity with Python-based ML workflows (no heavy ML expertise required).
• Knowledge of serverless deployment patterns.
• Familiarity with hybrid cloud architecture considerations.