> Markdown version of [/jobs/ext/1473805-machine-learning-engineer-be](https://www.wearedevelopers.com/jobs/ext/1473805-machine-learning-engineer-be). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer (BE) - **Company:** CluePoints - **Location:** Ottignies-Louvain-la-Neuve, Belgium - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Clinical Data Management, Clinical Trial Management Systems, Computer Programming, General-Purpose Computing on Graphics Processing Units, Information Retrieval, Python (Programming Language), Machine Learning, Modular Design, Performance Tuning, Large Language Models, Deep Learning, Generative AI, Git, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control - **Published:** July 29, 2026 - **Apply:** https://www.adzuna.be/details/5740853080 ## About the Role * 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 ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)