Data Scientist

Qualifications

• A degree (Master or PhD ) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, Applied Economics or related quantitative field
• Deep understanding of LLMs fine-tuning and/or training lifecycle (LLMops).
• Fluency in English and in French or Dutch
• Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.).
• LLM Libraries: Deep expertise with Python libraries such as Langchain, LangGraph, Promptflow, Semantic Kernel, and Autogen.
• Software Engineering: Solid background in application development, API integration, and frontend integration, following security best practices.
• Gen AI Deployment: Proven experience in deploying and monitoring Gen AI models using CI/CD pipelines, Weight&Biases, and GitHub workflows.
• Security & Ethics: Strong understanding of AI security, compliance, and ethical standards.