Senior Data Scientist - Multi-Agent AI Systems
- Capgemini Technology
- 5 Positions
- Bengaluru
- 26 days ago
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Job Description
- Here are the details for the role: Location- Pune, Hyderabad, Bangalore
Budget- 21 LPA Max Experience- 5 to 11 years
Job Description: Senior Data Scientist - Multi-Agent AI Systems
About the Role
We 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 Responsibilities
Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives
Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources
Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication
Build, train, and fine-tune generative AI models for various applications within multi-agent systems
Develop robust evaluation frameworks to measure and improve multi-agent system performance
Implement efficient knowledge sharing mechanisms between AI agents
Write clean, efficient, and well-documented Python code for production-ready AI systems
Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems
Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions
Required Qualifications
Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field
4+ years of professional experience in data science or machine learning engineering
Extensive experience with Python programming and related data science/ML libraries
Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models)
Proven experience building RAG-based systems and implementing vector databases
Strong background in prompt engineering for large language models
Experience designing and implementing generative AI-based multi-agent architectures
Excellent problem-solving skills and ability to optimize complex AI systems
Preferred Qualifications
Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems
Familiarity with orchestration tools for managing complex AI workflows
Knowledge of agent communication protocols and collaborative problem-solving frameworks
Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure)
Contributions to open-source AI projects or research publications in relevant fields
Experience with knowledge graphs and semantic reasoning systems
Familiarity with MLOps practices and deployment of AI systems at scale.
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Others
Functional Area: Not Specified
Role/Responsibilies: Senior Data Scientist - Multi-Agent AI Systems
Contact Details:
Company: Capgemini TechnologyLocation(s): Bengaluru
Keyskills: artificial intelligence python gen data science machine learning ai
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Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...
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