Save Job Back to Search Job Description Summary Similar JobsAccelerated growth pathGlobal exposureAbout Our ClientThey are a revolutionary cloud-based legal platform designed exclusively for plaintiff personal injury law firms.Job DescriptionDesign 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 neededBuild 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 performanceThe Successful ApplicantA 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 OfferCompetitive salary within the rangeChallenging 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.Quote job refJN-022026-6944924Job summaryFunctionAnalyticsSub SectorMachine LearningWhat is your area of specialisation?Technology & TelecomsLocationPuneJob TypePermanentJob ReferenceJN-022026-6944924