Senior AI Engineer

About the role

Increasing electrification and efficiency are key, and demand for green hydrogen and derivative fuels will rise. The Data & Artificial Intelligence team develops and operates digital and AI solutions that support business transformation. The team brings together AI engineering, data, cloud, architecture, and software development capabilities to convert business requirements into secure, scalable, and operational solutions.

What you'll do

• Design, develop, test, and deploy scalable, secure, and maintainable AI applications using Generative AI, Large Language Models
• Engineer production-ready AI services and reusable components using Python , REST APIs, FastAPI , and microservice-based architectures
• Design end-to-end solution architectures that integrate AI capabilities with enterprise applications, data platforms, identity services, and business workflows
• Develop cloud-native AI solutions across Microsoft Azure and Amazon Web Services, selecting appropriate services based on scalability, security, performance
• Build and manage CI/CD pipelines for AI applications, model components, infrastructure, testing, and production releases

What you need

• 8–14 yrs of experience
• Python
• Machine learning
• SQL
• LLMs
• AWS
• MLOps
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Snowflake
• REST APIs
• FastAPI
• CI/CD
• Microservices
• Azure