Machine Learning Engineer
Listed on 2026-09-01
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Cloud Computing: Infrastructure & Operations
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At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on Linked In, X, You Tube, and Facebook.
Job Title:
Senior Principal Consultant, AIML Engineer.
Duration:
Full Time.
Work Location: Hybrid
Georgia - Atlanta
NY, NJ, Chicago, Boston and Houston areas.
Inviting applications for the role of Senior Principal Consultant, AIML Engineer.
In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers.
Responsibilities
- Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products
- Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers
- Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services
- Build and implement machine learning models and prototype solutions for proof-of-concept
- Scale existing ML models into production on a variety of cloud platforms
- Analyze and resolve architectural problems, working closely with engineering, data science and operations teams
Qualifications we seek in you!
Minimum Qualifications / Skills
- Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
- Master’s degree is a plus
- Integration – APIs, micro-services and ETL/ELT patterns
- Dev Ops (Good to have) – Ansible, Jenkins, ELK
- Languages and scripting:
Python, Scala Java etc - Cloud Services - AWS, GCP, Azure and Cloud Native
- Analytics and ML tooling – Sagemaker, ML Studio
- Execution Paradigm – low latency/Streaming, batch
Preferred Qualifications/ Skills
- Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, Big Query, Snowflake etc.)
Lead AI-first transformation – Build and scale AI solutions that redefine industries
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters:
Up.
Let’s build tomorrow together
The approximate annual base compensation range for this position is $65,000 to $70,000. The actual offer, reflecting the total compensation package plus benefits, will be determined…
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