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Senior Data Scientist - Multi-Agent AI Systems

5.00 to 10.00 Years   Pune, Bangalore   15 Jun, 2025
CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED
Job LocationPune, Bangalore
EducationNot Mentioned
SalaryRs 16 - 22 Lakh/Yr
IndustryIT Services & Consulting
Functional AreaOthers
EmploymentTypeFull-time

Job Description

    Here are the details for the role:Location- Pune, Hyderabad, BangaloreBudget- 21 LPA MaxExperience- 5 to 11 years Senior Data Scientist - Multi-Agent AI SystemsAbout the RoleWe are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence.Key ResponsibilitiesDesign and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectivesArchitect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sourcesCreate sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communicationBuild, train, and fine-tune generative AI models for various applications within multi-agent systemsDevelop robust evaluation frameworks to measure and improve multi-agent system performanceImplement efficient knowledge sharing mechanisms between AI agentsWrite clean, efficient, and well-documented Python code for production-ready AI systemsCollaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystemsStay at the forefront of AI research and incorporate state-of-the-art techniques into our solutionsRequired QualificationsMasters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field4 years of professional experience in data science or machine learning engineeringExtensive experience with Python programming and related data science/ML librariesDemonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models)Proven experience building RAG-based systems and implementing vector databasesStrong background in prompt engineering for large language modelsExperience designing and implementing generative AI-based multi-agent architecturesExcellent problem-solving skills and ability to optimize complex AI systemsPreferred QualificationsExperience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systemsFamiliarity with orchestration tools for managing complex AI workflowsKnowledge of agent communication protocols and collaborative problem-solving frameworksExperience with distributed systems and cloud computing platforms (AWS, GCP, Azure)Contributions to open-source AI projects or research publications in relevant fieldsExperience with knowledge graphs and semantic reasoning systemsFamiliarity with MLOps practices and deployment of AI systems at scale.

Keyskills :
artificial intelligencepythongendata sciencemachine learning

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