Sr. AI Engineer
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
- 1. Design and implement end-to-end machine learning pipelines for production analytics use cases, ensuring scalability and performance.
- 2. Own model development lifecycle including feature engineering, training, validation, and deployment for assigned client projects.
- 3. Mentor junior AI engineers and analysts on ML best practices, code quality, and technical problem-solving approaches.
- 4. Partner with data engineers and business stakeholders to translate requirements into ML solutions and validate model performance.
- 5. Drive optimization of existing AI models through experimentation, hyperparameter tuning, and algorithm selection.
- 6. Document technical architecture, model assumptions, and deployment procedures to enable knowledge transfer and operational handoff.
- 7. Contribute to internal AI/ML capability building by sharing learnings, code libraries, and reusable frameworks across teams.
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Qualifications
Bachelors - Computer Science, Bachelors - Mathematics, Bachelors - Software Engineering, Masters - Artificial Intelligence, Masters - Statistics
- Certifications
- BUILD - GENERATIVE AI - Genpact, Certification in Python and Machine Learning - Decodr Technology, Deep Learning Specialization - Coursera, Generative AI & Large Language Models - Databricks Academy, IBM Machine Learning Specialization - IBM
- Required Skills
- AI/ML Ops, AI Agents, Amazon Web Services (AWS), Artificial Intelligence (AI), Deep Learning Algorithms, Google Cloud Platform, Machine Learning, Microsoft Azure, Natural Language Processing (NLP), PyTorch, Tensorflow
- Language Proficiency -
- English (OVERALL - Advanced - C1), English (OVERALL - Advanced - C1)
Additional Job Location -