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Capgemini
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Risk & Finance Data Engineer

Risk & Finance Data Engineer

Capgemini

4 - 9 years

9 - 13 Lacs

gurugram

Posted:None| Platform:

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Skills Required

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

Work Mode

Work from Office

Job Type

Full Time

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

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Risk & Finance Data Engineer