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INTERNSHIP BIOVIA Machine Learning Applications Medical Imaging
ML Engineer
Internship focused on developing advanced deep learning models for medical imaging within the BIOVIA Pipeline Pilot platform, leveraging Python and cutting‑edge image analysis techniques to support scientific research workflows.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning components for the BIOVIA Pipeline Pilot AI platform.
- Develop deep learning algorithms for medical image analysis, including segmentation, classification, and feature extraction.
- Integrate models into scalable scientific data processing workflows and evaluate performance against state‑of‑the‑art benchmarks.
- Collaborate with cross‑functional teams to translate research findings into production‑ready solutions.
- Document code, experiments, and results to support reproducibility and knowledge sharing.
Requirements
- Strong programming skills in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
- Familiarity with deep learning techniques for image analysis and experience with medical imaging datasets.
- Knowledge of scientific data processing and workflow orchestration.
- Excellent problem‑solving abilities and a passion for applying AI to real‑world scientific challenges.
Skills
pythonmachine learningdeep learning