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Machine Learning Engineer (BE)

CluePoints -
Belgique

Soumettre votre candidature

Détails de l'emploi

Avantages

Éco-chèques
Chèques repas

Qualifications

Informatique
Doctorat
Informatique
Conception de systèmes
Git
Recherche
Master
Bases de données
Machine learning
Deep learning
NLP
APIs
Développement de systèmes
Support des applications
Intelligence artificielle
Python

Description complète du poste

Job description

At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.

We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 40 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA.

At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.

We are looking for an AI Engineer to join our AI Innovation team, focused on exploring, prototyping, and operationalizing cutting-edge AI solutions for clinical data review. This role sits at the intersection of research and engineering: you will investigate emerging AI capabilities—particularly LLMs and agentic AI systems—and translate them into impactful use cases within clinical trials. While the primary focus is on innovation and experimentation, you are expected to drive selected prototypes through to robust, production-ready solutions.

Job requirements

Main Qualifications

Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative field
Strong programming skills in Python
Proven experience working with LLMs and modern AI frameworks (e.g., OpenAI, Anthropic, Mistral, Meta)
Solid understanding of agentic AI concepts and orchestration frameworks (e.g.,
LangGraph, AutoGen, CrewAI, function calling)
Experience with Retrieval-Augmented Generation (RAG) and/or hybrid AI systems
Strong software engineering fundamentals (modular design, APIs, version control with Git)

Preferred Qualifications (Nice to have)

Experience with clinical trial data (protocols, EDC, CTMS, AE/SAE reporting)
Familiarity with regulated environments (e.g., life sciences, healthcare)
Experience deploying AI/ML systems into production environments
Knowledge of vector databases, embeddings, and information retrieval systems
Background in NLP, deep learning, or applied AI research
Experience with data quality, statistical methods, or risk-based monitoring
Familiarity with GPU computing and performance optimization

Job responsibilities

AI Innovation & Exploration

Explore and evaluate emerging AI techniques, with a focus on LLMs and agentic AI systems
Design and prototype novel AI-driven approaches for clinical data review (e.g., protocol interpretation, query generation, deviation detection, medical coding)
Translate scientific literature and industry trends into practical experimentation and prototypes
Identify new opportunities where AI can bring value within clinical research workflows

Agent & System Development

Architect and build intelligent agent systems leveraging LLMs, RAG, and tool augmentation
Integrate diverse data sources (e.g., protocols, clinical datasets, operational metadata) into AI workflows
Develop modular services, APIs, and reusable components to support AI applications
Prototype interactive interfaces (e.g., chat-based agents, copilots, APIs)

From Prototype to Production

Contribute to the industrialization of selected AI solutions, ensuring scalability and robustness
Apply best practices for evaluation, monitoring, and reproducibility of AI systems
Ensure outputs are traceable, auditable, and aligned with regulatory expectations
Collaborate with engineering teams to transition prototypes into production-ready systems

Collaboration & Thought Leadership

Work closely with clinical experts, product managers, and R&D teams to refine use cases
Communicate findings, trade-offs, and recommendations clearly to stakeholders
Stay at the forefront of AI advancements and contribute to CluePoints’ innovation strategy
Optionally contribute to publications, conferences, or internal knowledge sharing

Job benefits

What We Offer – Belgium

Health Insurance through Alan (100% hospitalisation cover, 80% ambulatory and dental)
Mobility Budget for eco-transport, housing, or car allowance (flexible 3-pillar system)
Group Insurance Plan with 6–12% employer pension contribution based on seniority
Meal Vouchers (€8/day) and Eco Vouchers for sustainable purchases
A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture.

Equal Opportunities & GDPR Notice

CluePoints is an equal opportunities employer. We value and respect diversity in our workforce and do not tolerate discrimination based on gender, age, disability, ethnic origin, religion, sexual orientation, or any other protected ground under Belgian law.

Personal data collected as part of your application will be processed in compliance with the EU GDPR and Belgian data protection legislation.

You have the right to access, correct, or delete your personal data at any time by contacting [email protected].

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Machine Learning Engineer (BE)

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Sales Director Belgium – AI & Cloud consultancy

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Senior Software Engineer - AI First

Backend Developer – Python

Java Developer

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