08/14/2025 updated
100 % available
Machine Learning Scientist with PhD in Medical Informatics
Sweden
Only remote
PhD at Uppsala UniversityAcademic WritingArtificial IntelligenceAmazon Web ServicesComputer VisionHealth InformaticsC++ (Programming Language)Clinical ResearchEnergy MarketForecastingPython (Programming Language)Machine LearningMagnetic Resonance ImagingSoftware EngineeringTime SeriesPyTorch
Machine Learning
PhD background and industry experience in designing, implementing and evaluating deep learning systems, from computer vision in clinical trials to time series forecasting in energy markets.
Software Development
Proficient in Python and PyTorch, together with experience in C++. Worked with AzureML and holding three cloud certifications for AWS and GCP.
Scientific Writing
Published 7 first-author, peer-reviewed journal papers on deep learning and co-authored a book on machine learning for Magnetic Resonance Imaging.
PhD background and industry experience in designing, implementing and evaluating deep learning systems, from computer vision in clinical trials to time series forecasting in energy markets.
Software Development
Proficient in Python and PyTorch, together with experience in C++. Worked with AzureML and holding three cloud certifications for AWS and GCP.
Scientific Writing
Published 7 first-author, peer-reviewed journal papers on deep learning and co-authored a book on machine learning for Magnetic Resonance Imaging.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
GermanNative speakerFinnishNative speakerEnglishFluentSwedishGood
Project history
* Developing machine learning systems for probabilistic time series forecasting in PyTorch
* Designing, evaluating, and monitoring models in cloud deployment on Azure ML
* Introduced Pylint, Black and pytest for agile software development in Python
* Designing, evaluating, and monitoring models in cloud deployment on Azure ML
* Introduced Pylint, Black and pytest for agile software development in Python
Applied deep learning research for computer vision in clinical studies, designed and monitored machine learning models, coordinated deep learning methods introduction, and developed audit-proof software in agile environment.
Contributed as advising AI/ML specialist to research.