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Data scientist - health sector

Bruxelles
Indépendant
CDD
Innova
Data Scientist
Publiée le 14 juillet
Description de l'offre

🚀 Data Scientist - NLP & Generative AI | Remote (BE, NL, GER)




Are you a Python expert with a strong grasp of NLP and a hunger to deploy AI models that make real impact? We're looking for a hands-on Data Scientist to build and productionize NLP and GenAI models that drive intelligent decision-making at scale.


This role is perfect for someone who's passionate about building robust AI systems—not just prototypes, but production-ready pipelines, APIs, and cloud-deployed solutions.




đź’ˇ Your Mission






Design and develop LLM/NLP solutions using frameworks like LangChain, LlamaIndex, CrewAI, or direct integrations (OpenAI, Anthropic, etc.)





Develop and expose ML models as APIs using FastAPI (Python)





Build scalable data pipelines and deploy AI systems using AWS services: Lambda, ECS, S3





Fine-tune traditional ML models (e.g. regression, classification, clustering) to support data-driven features





Collaborate with engineers, product teams, and domain experts to turn ideas into scalable, real-world tools





Focus on robust architecture, cost-efficiency, CI/CD, and performance in production




âś… Your Profile






2+ years of professional experience in Data Science or ML engineering





Proven experience with Natural Language Processing (NLP) and LLM-based tooling





Excellent knowledge of Python (clean, testable, production-grade code)





Experience with FastAPI or similar web frameworks to expose ML models





Solid understanding of AWS cloud (especially ECS, Lambda, S3)





Familiar with containerization (Docker) and DevOps (CI/CD, observability)





Bonus: Familiarity with LangChain, HuggingFace, or other GenAI tools





Strong system design skills and a pragmatic, solution-driven mindset




🌍 Why Join






100% remote-first environment (EU-based candidates)





Work on mission-critical, high-impact AI projects





Join a fast-paced team of builders with strong tech and product culture





Ownership, autonomy, and innovation are the norm here

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