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Empiric

Data Scientist | Paris | NLP, LLM |

Empiric
France · Contract · Mid-Senior

Data Scientist | NLP | LLM | Paris

6 month initial contract

1 - 2 days per week at client site

Upwards of €600 per day

ASAP Start


We're looking for an experienced Senior Data Scientist with a strong background in Generative AI, particularly within the domains of Natural Language Processing (NLP), Large Language Models (LLMs), and multimodal systems. As AI adoption accelerates across industries, there’s a growing demand for professionals who can design, optimize, and deploy advanced AI solutions that integrate text, image, and structured data.


Key Responsibilities:

  • Develop and fine-tune NLP and LLM-based solutions for real-world applications
  • Design and build multimodal AI systems that integrate multiple data types (e.g., text, image)
  • Create and manage robust evaluation frameworks to measure model performance and reliability
  • Develop and validate Proofs of Concept (PoCs) to test new AI capabilities and use cases
  • Apply MLOps best practices to streamline deployment and lifecycle management of AI systems
  • Configure and maintain vector and graph databases to support scalable, efficient data access


Expected Deliverables:

  • Production-ready NLP and LLM/VLM systems with clearly documented performance benchmarks
  • Detailed evaluation reports assessing AI models and system components
  • PoCs developed and documented to standard formats for review and reuse
  • Recommendations and implementations for performance improvements
  • Comprehensive technical documentation and handover materials


This is a unique opportunity to contribute to cutting-edge AI development in a fast-evolving space. If you're passionate about building impactful AI systems that push the boundaries of what’s possible, we’d love to hear from you.

Key Skills

Ranked by relevance

ai natural language processing mlops
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Posted
Apr 05, 2025
Type
Contract
Level
Mid-Senior
Location
Paris
Company
Empiric

Industries

IT Services IT Consulting

Categories

Engineering

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