We are looking to expand our LLM and GenAI capabilities with a Medior/Senior Data Scientist (Engineer) who is eager to invent, experiment, and scale new GenAI solutions in the real world.

At Intellerts, we don’t just develop AI & Data Science capabilities; we are the masterminds & craftsmen behind our clients’ data revolutions. From Data Ops to AI Ops, we architect, strategize, and implement data-driven transformations that turn vision into reality. We co-create breakthrough AI products with some of the most forward-thinking enterprises, startups, and scale-ups across Europe — and we’re growing.

Responsibilities

• Lead and contribute to the development of ML, LLM- and GenAI-powered applications
• Explore and validate cutting-edge models (e.g., prompt engineering, fine-tuning, Retrieval-Augmented Generation)
• Help take MVPs and prototypes to real, scalable, secure solutions
• Collaborate with cross-functional teams across AI, data engineering, product, and client strategy
• Work with both enterprise clients and start-up/scale-up innovators to co-create new products
• Operate within both Google Cloud and Azure environments (depending on client stack)

Qualifications

We’re looking for someone who thrives in ambiguity, loves building, and is motivated by impact.

You bring:

• Strong communication skills in Dutch and English (written and spoken)
• 3+ years of experience in Data Science, AI Engineering, or Machine Learning
• Strong background in Natural Language Processing (NLP) or multimodal AI
• Hands-on experience with LLMs / GenAI models (e.g., Gemini, OpenAI, Azure OpenAI, HuggingFace)
• Knowledge of NLP frameworks and techniques using BERT, spaCy, sentence-transformers, or similar
• Experience building prototypes and PoCs from scratch, with a strong product-thinking mindset
• Proficiency in Python and experience with libraries like LangChain, transformers, pandas, scikit-learn, etc.
• Experience with prompt engineering, LLM fine-tuning, and deploying models via APIs
• Familiarity with cloud-native development in Google Cloud and/or Azure
• Comfortable working in agile, cross-functional, and client-facing environments

Nice to have:

• Experience with RAG (Retrieval-Augmented Generation) architectures
• Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma)
• Knowledge of MLOps / AI Ops and model lifecycle management tools (e.g., MLflow, Vertex AI, Azure ML)
• Experience integrating external APIs or building LLM agents
• Interest or experience in explainable AI, AI ethics, or responsible GenAI
• Understanding of design patterns for AI productization (e.g., CI/CD for ML, data validation, scalability)
• Familiarity with front-end integration of AI components (e.g., Streamlit, Gradio, or React-based dashboards)