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Risk & Finance Data Engineer @ Capgemini

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 Risk & Finance Data Engineer

Job Description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client"s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role
  • 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
Your Profile
  • 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Noida, Gurugram

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Keyskills:   data science ml python machine learning data engineering hive scala pyspark data warehousing sql spark gcp mysql hadoop data visualization big data etl data analysis data analytics big data analytics microsoft azure nosql tableau sqoop aws

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