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Risk and Finance Data Engineer- Python+ Gen AI @ Capgemini

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Capgemini  Risk and Finance Data Engineer- Python+ Gen AI

Job Description

The Data Scientist Generative AI & NLP Specialist will be responsible for designing, developing, and deploying AI models and solutions that meet our business needs. With 4+ years of hands-on Data Science experience and at least 2+ years working in Generative AI, you will bring specialized expertise in LLMs and NLP. Project experience in NLP is a must, and experience in developing AI Agents will be considered a strong plus. This role suits a creative, analytical, and proactive individual focused on pushing the capabilities of AI within our projects.
Primary Skill

Develop and implement AI models focused on NLP taskssuch as text classification, entity recognition, sentiment analysis, and language generation.
Leverage deep knowledge of Large Language Models (LLMs) to design, fine-tune, and deploy high-impact solutions across various business domains.
Collaborate with cross-functional teams (data engineers, product managers, and domain experts) to define problem statements, build robust data pipelines, and integrate models into production systems.
Stay current with advancements in Generative AI and NLP; research and evaluate new methodologies to drive innovation and maintain a competitive edge.
Build, test, and optimize AI agents for automated tasks and enhanced user experiences where applicable.

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): Hyderabad

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Keyskills:   hive natural language processing data engineering data science spark python data analysis pyspark data warehousing microsoft azure machine learning sql nosql tableau data modeling kafka mysql hadoop sqoop big data aws etl

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