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Data scientist || Pune || WFO

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  • Posted 2 months ago
  • Over 100 applicants

Job Description

  • Accelerated growth path
  • Global exposure

Job Description

  • Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks.
  • Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed
  • Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data.
  • Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks.
  • Optimize performance and safety. Continuously evaluate and improve model/system performance

The Successful Applicant

A successful Data Scientist should have:

  • Expert-level skills in Python, with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow).
  • Demonstrated ability to build, fine-tune, and deploy large-scale generative models. Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs).
  • Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent.
  • Experience integrating AI components with existing systems via APIs and services.

What's on Offer

  • Competitive salary within the range
  • Challenging projects that enhance your skills and expertise in analytics.
  • Supportive work environment and opportunities for professional growth.



If you are passionate about AI and analytics and looking to advance your career as a Data Scientist in Pune, we encourage you to apply.

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About Company

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds&#x3B; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 143587157