Senior AI Data Scientist

Job Description: Senior AI Data Scientist

Locations: The Netherlands

Engagement Type: Long-term / Permanent

Domain focus: Healthcare, Industrial AI, and Generative AI Agents

Role Objective

• versatile, high-caliber AI professionals to join a long-term strategic engagement. You will be responsible for transforming complex data from various business divisions into production-ready AI solutions. This role requires a blend of deep mathematical research and modern ML Ops practices.

Key Specializations (Looking for expertise in one or more)

Track A: Generative AI & Agentic Systems

• Designing and scaling GenAI solutions from research to production.
• Implementing Vision Language Models (VLM) and Computer Use Agents (CUA) for autonomous navigation and monitoring.
• Optimizing agentic workflows (e.g., Text-to-SQL) and scaling test-time inference.

Track B: Medical Imaging & Signal Intelligence

• Applying AI/ML to high-dimensional healthcare data (Ultrasound, Doppler, HPLC-LIF).
• Developing algorithms for image segmentation, classification, and clinical decision support.
• Translating spectral and biomedical signals into diagnostic insights.

Track C: Predictive Analytics & ML Ops

• Building predictive maintenance models for machine component failure using log file analysis.
• Establishing robust ML Ops pipelines for LLM deployment and monitoring.
• Exploratory statistical modeling for trend identification and business case analysis.

Technical Requirements

• Education: PhD or master's in computer science, AI, NLP, Biomedical Engineering, or a related quantitative field.
• Core AI: Deep Learning, Reinforcement Learning, and Transformers.
• Programming: Mastery of Python and standard AI frameworks (PyTorch, TensorFlow, JAX).
• Mathematics: Strong foundation in statistical modeling, spectral analysis, and exploratory mathematics.
• Soft Skills: Proven ability to present complex technical proposals and results to non-technical collaborators and customers.

Preferred Experience

• Experience in the healthcare domain (oncology, patient monitoring, or medical imaging).
• Prior experience in leading project activities, including hiring and business case evaluation.
• Knowledge of zero-shot learning and multi-modal ingestion.