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Genpact Ltd. in India seeks a Lead Data Scientist to partner with HR and business leaders to identify high-impact HR AI problems and design end-to-end ML/GenAI solutions.
You will work on RAG pipelines, multi-agent systems, and LLM orchestration, delivering scalable results on cloud platforms. Lead a team of data scientists and ML engineers, translating business needs into technical roadmaps and ensuring on-time delivery with governance and quality.
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.
Inviting applications for the role of Senior Manager Data ScientistIn this role you need to partner with HR Leadership and functional SM Es to identify prioritize and define high-impact business problems in the HR domain. Pitch ideas secure buy-in and maintain alignment with senior stakeholders. Create design of solutions/products involving RAG pipelines multi-agent systems LLM based orchestration and workflows.