AI/ML Engineer with CV Expertise

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What you will do:

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- Design and fine-tune object detection models for medical imaging reports

- Build deterministic CV + OCR pipelines

- Optimize frame extraction and preprocessing workflows

- Improve model inference speed and memory efficiency

- Implement fallback logic for robust extraction

- Contribute to backend integration (FastAPI-based deployment)

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Who we are looking for:

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- A builder, not just a researcher

- Comfortable working in ambiguity

- Obsessed with performance (accuracy + latency)

- Analytical and systematic in debugging

- Willing to take ownership of a module end-to-end

- Excited by real-world deployment, not just experiments

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Requirements:

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- Technical Skills

- Strong Python programming skills

- Experience with PyTorch or TensorFlow

- Solid understanding of Computer Vision fundamentals (segmentation, object detection, preprocessing)

- Hands-on experience with YOLO or similar detection frameworks

- Experience with OpenCV

- Familiarity with OCR pipelines (Tesseract, PaddleOCR, or similar)

- Experience working with structured outputs (JSON, APIs)

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Nice to have:

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- Experience with medical imaging (DICOM)

- Knowledge of model optimization (quantization, ONNX, inference tuning)

- Experience reducing model latency in CPU environments

- Familiarity with FastAPI or backend integration

- Git-based collaborative development experience

- Education & Availability

- MSc student or final-year BSc in AI, Computer Science, Data Science, or related field

- Available for 4–6 months

- Minimum 3–4 days per week

- Based in the Netherlands (preferred)

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What we offer you:

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- Work on real clinical AI systems deployed in hospital environments

- Direct ownership of production-level AI modules

- Exposure to multimodal AI (Computer Vision + structured reasoning + ontology)

- Experience building healthcare AI under real-world constraints

- Close mentorship from experienced healthcare AI founders

- Fast learning curve in a high-impact startup environment

- Flexible working structure (hybrid setup)

- Internship compensation (as per agreement)

- Potential full-time opportunity after successful completion

- You won’t just “assist.” You will build.