Machine Learning Engineer

☞ CluePoints - The #1 RBQM Platform for Sponsors & CROs

Vue: 215

Jour de mise à jour: 26-11-2025

Localisation: Genval Walloon Brabant Ottignies-Louvain-la-Neuve Louvain-la-Neuve

Catégorie: Haute technologie IT - Logiciel Santé / soins médicaux

Industrie: Information Technology Services Computer Software Research

Niveau: Mid-Senior level

Type d’emploi: Full-time

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le contenu du travail

CluePoints is a fast-growing company and the premier provider of Risk-Based Monitoring and Data Quality Oversight solutions to Bio-Pharmaceutical and Medical Device organizations. Our products utilize advanced statistical and machine learning algorithms to assess the quality of clinical trial data both during and following study execution. At CluePoints, we are looking for people with fresh ideas to keep developing our algorithms and help us to sustain our growth.

As a member of our R&D team, you will bring bleeding edge machine learning models into production together with a highly multi-disciplinary team of scientist, engineers, partners, product managers and subject domain experts.

Responsibilities

  • You develop new machine learning models to enhance/automate CluePoints web platform
  • You produce robust and scalable python algorithms
  • You identify new fields of applications for artificial intelligence and machine learning within CluePoints and contribute to increase the adoption of Machine Learning within the healthcare industry
  • You stay on the edge of relevant research and help CluePoints and increasing its scientific visibility by participating at scientific conferences and publishing in scientific journals

Main Qualifications

  • Master or PhD in Computer sciences or quantitative fields (maths, physics, ...)
  • 2+ years of professional experience in machine learning/data science
  • Efficient in¬ Python
  • Solid Experience with a mix of the following:
  • Good knowledge in at least one of the Deep Learning frameworks like TensorFlow or PyTorch
  • Experience with code versioning tools such as Git

Preferred Qualifications

  • Experience in supporting deployments of Machine Learning models
  • Professional experience with Deep Learning and Natural Language Processing
  • Previous experience with medical or clinical data
  • Experience in GPU and distributed systems

Top Reasons to Work with Us

  • A challenging and rewarding job in an ambitious scale-up
  • Work for a fast-growing, multi-disciplinary and international team
  • Competitive salary
  • Joining a company where innovation is at heart, therefore it goes without saying that we give our employees the opportunity to undertake additional training and keep up to date in their field of expertise
  • Geek & Startup atmosphere
  • Flat hierarchy
  • Fun and enjoyable working environment
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Date limite: 10-01-2026

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