Senior AI DevOps Engineer - Azure/AWS & Python

About the role

We are seeking a Senior AI DevOps Engineer to design, automate, secure, and operate scalable platforms for artificial intelligence and machine learning workloads. This hands-on role combines cloud engineering, DevOps, Kubernetes, infrastructure as code, MLOps, and LLMOps. The engineer will support the full AI lifecycle—from experimentation and model packaging through deployment, monitoring, optimization, retraining, and retirement.

What you'll do

• Design and operate secure, scalable, and highly available platforms for machine learning, generative AI, and LLM workloads
• Develop standardized deployment patterns for traditional ML models, deep learning models, LLMs, RAG applications, and AI agents
• Support real-time, batch, asynchronous, and event-driven model-serving architectures
• Deploy and manage model endpoints, embedding services, prompt-processing services, retrieval pipelines, and inference APIs
• Optimize AI platforms for performance, availability, scalability, resilience, and cost

What you need

• 3–6 years in devops & cloud
• AWS
• Azure
• Kubernetes
• Terraform
• Docker
• Python
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Git
• CI/CD
• Machine learning
• MLOps
• LLMs
• REST APIs