8 meilleures offres (data engineer, waterloo, wal) (à pourvoir)

Senior Data Scientist - GenAI
Artefact —Bruxelles
- Informatique
- Expérience en gestion d'équipe
- Doctorat
Senior Data Science Analyst - OptimusAI
McKinsey & Company —Bruxelles
- Microsoft Powerpoint
- Informatique
- Microsoft Excel
Data Engineering Manager
Deloitte —Zaventem
- Temps partiel
- PMP
- Salesforce
- Systèmes PGI
Senior Data Scientist (VDAB)
Vlaanderen Connect. —Bruxelles
- Temps plein
- Expérience en gestion d'équipe
- Master
- Machine learning
- Travail à domicile
- Assurance groupe
Microsoft Business Intelligence Expert - MS Fabric
Devoteam Belgium —Machelen
- Temps plein
- Travail hybride
- Azure
- Anglais
- SQL
Postuler rapidement
IT Expert
Wibit Consulting & Services (WibitCS) —Bruxelles
- Temps plein
- Azure
- Java
- Bases de données
Postuler rapidement
Senior Consultant in Data science
Sia —Bruxelles
- Temps plein
- Travail hybride
- Master
- Machine learning
- IT
Postuler rapidement
Consultant Data & Analytics SAP - Datasphere / BDC l Belgium
Talan —Bruxelles
- Temps plein
- Informatique
- Azure
- Informatique
Postuler rapidement

Discover related jobs

Based on your search for data engineer jobs.

SharePoint Solutions Developer
General Dynamics Information Technology —Mons
SharePoint development, content administration, site management, and any software development related experience Modern and classic page creation (lists,…
De 106 250 € à 143 750 € par an
7 h
Full stack .NET developer
Sopra Steria —Bruxelles
In de derde stap bekijkt het bedrijf de feedback en stemt het af op een mogelijk aanbod. Het rekruteringsproces begint meestal met een eerste stap waarin de…
Postuler rapidement

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (waterloo, wal)

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Senior Data Scientist - GenAI

Artefact -
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Avantages

Formations en entreprise

Qualifications

Français
Informatique
Infrastructure cloud
Expérience en gestion d'équipe
Doctorat
Informatique
MCP
Master
Gestion de projet
Machine learning
NLP
Intelligence artificielle
Leadership
Compétences en communication
Python
Néerlandais

Description complète du poste

Join Artefact Belgium: Lead the Future of Generative AI and Large Language Models

Are you a seasoned AI professional with a passion for generative AI and Large Language Models (LLMs)? Artefact Belgium is looking for a Senior Data Scientist - Gen AI to drive innovation and lead cutting-edge projects. If you have at least four years of experience in AI and consulting, combined with a talent for project and team management, we invite you to shape the future of LLM-driven solutions with us in Brussels.

Who You Are

Experienced professional: At least 4 years of experience in AI, with a strong background in consulting and delivering impactful projects for diverse clients.
Leader and collaborator: Proven experience managing teams, guiding junior colleagues, and fostering collaboration in multidisciplinary environments.
Innovative thinker: Able to identify emerging trends in generative AI and apply them to real-world challenges.
Results-oriented: Comfortable handling end-to-end project delivery, from ideation and development to deployment and client engagement.
Eager to grow: Passionate about advancing your expertise in LLMs and generative AI while mentoring others.

Who We Are

Artefact is a leading Data & AI consulting firm at the forefront of AI innovation. With a global presence, we collaborate with top-tier clients across industries, including healthcare, manufacturing, and media, to harness the transformative power of generative AI. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

Lead and deliver LLM projects: Manage the design, development, and deployment of advanced LLM-powered solutions, including RAG systems, agentic AI architectures, and multi-modal applications for our clients.
Drive technical excellence: Architect and deploy advanced AI systems leveraging cutting-edge techniques such as parameter-efficient fine-tuning (LoRA/QLoRA), prompt orchestration, retrieval-augmented generation (RAG), function/tool calling, multi-agent workflows, and emerging interoperability standards like the Model Context Protocol (MCP).
Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
Mentor and manage teams: Guide junior engineers and data scientists in implementing cutting-edge AI technologies, fostering best practices in LLM development and deployment.
Innovate and strategize: Drive experimentation with state-of-the-art LLMs to identify new use cases, optimize performance through techniques like quantization and inference optimization, and develop generative AI tools and products.
Build scalable infrastructure: Oversee the deployment and maintenance of AI systems, including model serving, API development, vector databases, orchestration frameworks (LangChain, LlamaIndex), and cloud infrastructure.
Engage with clients: Collaborate with client teams to translate their business needs into impactful AI solutions, providing technical leadership and strategic guidance throughout project lifecycles.
Shape our expertise: Contribute to the company's thought leadership by publishing insights, presenting at conferences, or driving internal training on emerging LLM technologies and best practices.

What You Bring

A degree in computer science, engineering, mathematics, or a related field; advanced degrees (MSc or PhD) are a plus.
At least 4 years of professional experience in AI, with a strong focus on Data, Machine Learning, LLMs, or generative AI.
Consulting experience, including managing client relationships and delivering tailored solutions.
Deep expertise in modern LLM techniques including fine-tuning, RAG systems, agentic AI, evaluation frameworks, and production deployment.
Strong programming skills in Python and extensive experience with NLP/AI frameworks (e.g., Hugging Face, OpenAI, Anthropic, LangGraph, Agno, ….).
Leadership and project management skills, with a proven track record of managing teams and delivering complex AI projects.
Excellent analytical, problem-solving, and communication skills. Proficiency in English, Dutch, or French is required; additional languages are a plus.

What We Offer

Competitive compensation aligned with your expertise and experience.
High-impact opportunities to work with state-of-the-art LLM technologies and solve real-world challenges.
A leadership role in a dynamic, collaborative, and innovative work environment.
Professional growth through dedicated resources for training, conferences, and thought leadership.
A chance to shape the direction of a fast-growing AI team within a global consulting firm.
A collaborative, inclusive workplace with access to global expertise through Artefact's network.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value expertise, leadership, and a drive to innovate. If you're ready to lead and make a tangible impact in the world of generative AI, we'd love to hear from you

Soumettre votre candidature

Affinez votre recherche

data engineer emplois - waterloo, wal

Senior Data Scientist - GenAI

Senior Data Science Analyst - OptimusAI

Data Engineering Manager

Senior Data Scientist (VDAB)

Microsoft Business Intelligence Expert - MS Fabric

IT Expert

Senior Consultant in Data science

Consultant Data & Analytics SAP - Datasphere / BDC l Belgium

Discover related jobs

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (waterloo, wal)

Related Searches

Who You Are

Who We Are

What You Will Do

What You Bring

What We Offer

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact