Artefact
Data Scientist - GenAI
- Lokasi
- Brussels-Capital, Belgium
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
Join Artefact Belgium: Shape the Future of Generative AI and Large Language Models (LLMs)
Are you an early-career professional excited to harness the power of generative AI and Large Language Models (LLMs)? Artefact Belgium is seeking a Data Scientist - Gen AI to join our innovative team in Brussels. Our Belgian team specializes in LLM and GenAI projects, and this is your chance to work on cutting-edge solutions, collaborate with top-tier experts, and contribute to impactful projects in a dynamic, forward-thinking environment.
Who You Are
A recent graduate or professional with 1 to 3 years of experience, with hands-on experience working with LLMs and a passion for generative AI and NLP. Motivated to apply your technical expertise to real-world challenges in AI. Able to thrive in collaborative settings while independently driving your own workstreams. Eager to learn, grow, and push the boundaries of what's possible in AI innovation.
Who We Are
Artefact is a leading Data & AI consulting firm operating at the forefront of AI innovation. With a global presence, we help clients across industries—public health, manufacturing, etc. —leverage generative AI to achieve transformative outcomes. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. At Artefact, we foster a culture of innovation, collaboration, and continuous learning, with a strong commitment to inclusivity and employee growth.
What You Will Do
- Collaborate with the team to design, train, and fine-tune state-of-the-art models for client projects and internal tools.
- Develop and integrate agentic AI solutions using tool calling, and emerging protocols like Model Context Protocol (MCP) to create autonomous, context-aware applications.
- Research and implement innovative generative AI applications to solve complex business problems.
- Design and implement comprehensive evaluation frameworks to measure LLM performance, establishing quality metrics and benchmarks that guide development decisions and ensure reliable, production-ready solutions.