GenAI Data Scientist – LLM/NLP Specialist (Brussels)

VIVADATA; Brussel; Sur place; EUR 42 000 - 62 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Hands-on GenAI work

Professional development

Global network access

Résumé du poste

Artefact Belgium is seeking a Data Scientist – Gen AI in Brussels to design, train and refine LLM and GenAI solutions for real-world client challenges. You will collaborate with a multidisciplinary team, applying state‑of‑the‑art NLP techniques and tools in a fast-paced environment.

The role welcomes graduates or professionals with 1–3 years of hands-on GenAI experience, offering hands-on work with cutting‑edge AI, strong growth potential, and opportunities for global collaboration within

Qualifications

• Recent graduate or 1–3 years of experience with LLMs or GenAI
• Strong Python and NLP library experience
• Degree in computer science, math, engineering, physics or related field

Responsabilités

• Collaborate to design, train, and fine‑tune models for client projects and internal tools
• Develop agentic AI solutions using tool calling and MCP for autonomous applications
• Research and implement innovative GenAI applications to solve business problems
• Create evaluation frameworks and benchmarks to measure LLM performance
• Optimize performance, scalability, and usability of LLM-powered products and tools
• Participate in deployment and maintenance of AI systems and infrastructure
• Join technical discussions to shape impactful AI solutions

Connaissances

LLMs

Python

NLP libraries

Analytical thinking

English communication

Formation

Bachelor's degree in CS/Math/Engineering/Physics

Outils

Hugging Face

OpenAI

Description du poste

Artefact Belgium is seeking a Data Scientist – Gen AI in Brussels to design, train and refine LLM and GenAI solutions for real-world client challenges. You will collaborate with a multidisciplinary team, applying state‑of‑the‑art NLP techniques and tools in a fast-paced environment.

The role welcomes graduates or professionals with 1–3 years of hands-on GenAI experience, offering hands-on work with cutting‑edge AI, strong growth potential, and opportunities for global collaboration within