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Internship: Computer Vision&Machine Learning in Medical Device Manufacturing(m/w/x)
Applying Computer Vision and ML to sensor surface scans for optimizing diagnostic device production. Hands-on ML experience with Python, PyTorch/TensorFlow, and OpenCV required. On-site perks, mentorship, and professional growth.
Requirements
- Bachelor or Master’s program enrollment or degree within 12 months, preferably in Computer Science, Physics, Electrical Engineering, Process Engineering, or related technical field
- Tech-enthusiasm with interest in code for physical products and cutting-edge technology in modern manufacturing
- Hands-on Machine Learning experience with real-world datasets
- Technical proficiency in Python and ecosystem (OpenCV, PyTorch/TensorFlow, Scikit-learn, Pandas)
- Strong foundation in statistical data analysis and analytical mindset
- Fluency in English and German
Tasks
- Transform raw manufacturing data into actionable intelligence
- Apply Computer Vision methods for feature extraction on sensor surface scans
- Design and implement Machine Learning and Deep Learning Proof-of-Concepts
- Optimize complex production processes using predictive modeling
- Uncover hidden patterns in imaging and process data using classical statistics
- Collaborate with multidisciplinary teams to share findings
- Influence process improvements through data-driven discovery
- Work on cutting-edge AI projects in a highly regulated medical environment
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Fluent
- German – Fluent
Tools & Technologies
- Python
- OpenCV
- PyTorch
- TensorFlow
- Scikit-learn
- Pandas
- Machine Learning
Benefits
Informal Culture
- Supportive culture
Career Advancement
- Professional growth
Mentorship & Coaching
- Mentorship
Flexible Working
- Work-life balance
- Work-from-home options
Other Benefits
- On-site perks
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Internship: Computer Vision&Machine Learning in Medical Device Manufacturing(m/w/x)
Applying Computer Vision and ML to sensor surface scans for optimizing diagnostic device production. Hands-on ML experience with Python, PyTorch/TensorFlow, and OpenCV required. On-site perks, mentorship, and professional growth.
Requirements
- Bachelor or Master’s program enrollment or degree within 12 months, preferably in Computer Science, Physics, Electrical Engineering, Process Engineering, or related technical field
- Tech-enthusiasm with interest in code for physical products and cutting-edge technology in modern manufacturing
- Hands-on Machine Learning experience with real-world datasets
- Technical proficiency in Python and ecosystem (OpenCV, PyTorch/TensorFlow, Scikit-learn, Pandas)
- Strong foundation in statistical data analysis and analytical mindset
- Fluency in English and German
Tasks
- Transform raw manufacturing data into actionable intelligence
- Apply Computer Vision methods for feature extraction on sensor surface scans
- Design and implement Machine Learning and Deep Learning Proof-of-Concepts
- Optimize complex production processes using predictive modeling
- Uncover hidden patterns in imaging and process data using classical statistics
- Collaborate with multidisciplinary teams to share findings
- Influence process improvements through data-driven discovery
- Work on cutting-edge AI projects in a highly regulated medical environment
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Fluent
- German – Fluent
Tools & Technologies
- Python
- OpenCV
- PyTorch
- TensorFlow
- Scikit-learn
- Pandas
- Machine Learning
Benefits
Informal Culture
- Supportive culture
Career Advancement
- Professional growth
Mentorship & Coaching
- Mentorship
Flexible Working
- Work-life balance
- Work-from-home options
Other Benefits
- On-site perks
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche Diagnostics Int. AG
Industry
Healthcare
Description
The company is dedicated to advancing personalized medicine and improving patient lives through innovative diagnostics and healthcare solutions.
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