Senior AI Engineer

About the role

The AI Engineer will design, build, validate, and deploy AI-enabled solutions that help Cummins teams convert complex operating, product, engineering, and business data into practical recommendations and intelligent workflows. This role will work closely with product owners, data scientists, data engineers, architects, and business stakeholders to deliver reusable AI capabilities across the Analytics and AI portfolio.

What you'll do

• Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas
• Programming Principles - Applies programming languages, frameworks, and patterns to design, write, configure, test
• Data Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance—enabling trusted, scalable
• Modern Development Practices - Applies modern engineering practices and tools—such as Agile/DevSecOps, CI/CD, automated testing
• Solution Design - Translate business requirements into integrated designs, architectures, patterns

What you need

• 8–14 years in data science & ai
• Compliance
• Machine learning
• LLMs
• Python
• Databricks
• MLOps
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Deep learning
• PyTorch
• TensorFlow
• Prompt engineering
• ETL
• Spark