Machine Learning Engineer

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Plaats

Ottignies-Louvain-La-Neuve
1340
Waals-Brabant
België

Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2025-06-21

Online to:

2025-08-20
EUR 15.00 HOUR

Machine Learning Engineer - Fully Remote

LynxCare
Waals-Brabant
Andere
4 dagen geleden

Are you passionate about the power of data? How about unlocking the potential of patient data with Artificial Intelligence and Natural Language Processing? LynxCare , a Belgian scale-up, is seeking a Machine Learning Engineer to help healthcare providers unlock previously unavailable clinical data for improved patient outcomes and research. As a Machine Learning Engineer , you will be instrumental in maintaining and improving LynxCare's clinical information extraction engine. You will build tools to monitor data and model quality, and track performance metrics to guarantee the performance, scalability and reliability of the engine. Next to development and operations, you will assist research by bringing state-of-the-art models and LLMs to production, and optimizing them to process large volumes of real-world data. A chance to be at the forefront of healthcare data innovation , working with a team of highly motivated clinical and data experts. The opportunity to expand your knowledge , try innovative technologies, constantly experiment, and evolve. extralegal benefits such as mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance and reimbursement of mobile telco subscription. Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Software Engineering or a related field but demonstrable equivalent experience is definitely considered as well. Hands-on experience with Python , common machine learning libraries, and NLP- or LLM frameworks like Hugging Face Transformers, spaCy, vLLM, Ollama , … A passion for quality, good design and clean code You are fluent in English. Familiarity with Dutch or French are a definite plus Experience with training and optimizing transformer models for information extraction Hands-on experience with at least one Cloud Service (e.g., Knowledge of medical ontologies and coding systems Fundamentals of data engineering (familiar with data ingestion, orchestration, transformation, storage, and governance) Experience in Agile methodologies and collaborating with cross-functional teams Team-minded and data-driven Join us in our mission to transform healthcare through data innovation!

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