Machine Learning Engineer

ph3Job Description /h3 /brpAt 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. /p /brpWe'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. /p /brpAt 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. /p /brpWe 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. /p /brh3Job Requirements /h3 /brh3Main Qualifications /h3 /brul /brliMaster's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field /li /brliStrong programming skills in Python /li /brliProven experience working with LLMs and modern AI frameworks (e.g., OpenAI, Anthropic, Mistral, Meta) /li /brliSolid understanding of agentic AI concepts and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, function calling) /li /brliExperience with Retrieval-Augmented Generation (RAG) and/or hybrid AI systems /li /brliStrong software engineering fundamentals (modular design, APIs, version control with Git) /li /br /ul /brh3Preferred Qualifications (Nice to have) /h3 /brul /brliExperience with clinical trial data (protocols, EDC, CTMS, AE/SAE reporting) /li /brliFamiliarity with regulated environments (e.g., life sciences, healthcare) /li /brliExperience deploying AI/ML systems into production environments /li /brliKnowledge of vector databases, embeddings, and information retrieval systems /li /brliBackground in NLP, deep learning, or applied AI research /li /brliExperience with data quality, statistical methods, or risk-based monitoring /li /brliFamiliarity with GPU computing and performance optimization /li /br /ul /brh3Job Responsibilities /h3 /brh3AI Innovation Exploration /h3 /brul /brliExplore and evaluate emerging AI techniques, with a focus on LLMs and agentic AI systems /li /brliDesign and prototype novel AI-driven approaches for clinical data review (e.g., protocol interpretation, query generation, deviation detection, medical coding) /li /brliTranslate scientific literature and industry trends into practical experimentation and prototypes /li /brliIdentify new opportunities where AI can bring value within clinical research workflows /li /br /ul /brh3Agent System Development /h3 /brul /brliArchitect and build intelligent agent systems leveraging LLMs, RAG, and tool augmentation /li /brliIntegrate diverse data sources (e.g., protocols, clinical datasets, operational metadata) into AI workflows /li /brliDevelop modular services, APIs, and reusable components to support AI applications /li /brliPrototype interactive interfaces (e.g., chat-based agents, copilots, APIs) /li /br /ul /brh3From Prototype to Production /h3 /brul /brliContribute to the industrialization of selected AI solutions, ensuring scalability and robustness /li /brliApply best practices for evaluation, monitoring, and reproducibility of AI systems /li /brliEnsure outputs are traceable, auditable, and aligned with regulatory expectations /li /brliCollaborate with engineering teams to transition prototypes into production-ready systems /li /br /ul /brh3Collaboration Thought Leadership /h3 /brul /brliWork closely with clinical experts, product managers, and RD teams to refine use cases /li /brliCommunicate findings, trade-offs, and recommendations clearly to stakeholders /li /brliStay at the forefront of AI advancements and contribute to CluePoints' innovation strategy /li /brliOptionally contribute to publications, conferences, or internal knowledge sharing /li /br /ul /brh3Job Benefits /h3 /brh3What

We Offer
- Belgium /h3 /brul /brliHealth Insurance through Alan (100% hospitalisation cover, 80% ambulatory and dental) /li /brliMobility Budget for eco-transport, housing, or car allowance (flexible 3-pillar system) /li /brliGroup Insurance Plan with 6-12% employer pension contribution based on