Data Engineer (Python with Gen AI)
- GE
- 2 - 6 years
- Hyderabad
- 4 months ago
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Job Description
Your 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
- 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
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: CapgeminiLocation(s): Hyderabad
Keyskills: python data engineering artificial intelligence sql spark hive data analysis data analytics scala big data analytics airflow pyspark data warehousing microsoft azure machine learning tableau data science gcp hadoop big data aws etl
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