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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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – fließend
Tools & Technologien
- Python
- OpenCV
- PyTorch
- TensorFlow
- Scikit-learn
- Pandas
- Machine Learning
Benefits
Lockere Unternehmenskultur
- Supportive culture
Karriere- und Weiterentwicklung
- Professional growth
Mentoring & Coaching
- Mentorship
Flexibles Arbeiten
- Work-life balance
- Work-from-home options
Sonstige Vorteile
- 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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – fließend
Tools & Technologien
- Python
- OpenCV
- PyTorch
- TensorFlow
- Scikit-learn
- Pandas
- Machine Learning
Benefits
Lockere Unternehmenskultur
- Supportive culture
Karriere- und Weiterentwicklung
- Professional growth
Mentoring & Coaching
- Mentorship
Flexibles Arbeiten
- Work-life balance
- Work-from-home options
Sonstige Vorteile
- On-site perks
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche Diagnostics Int. AG
Branche
Healthcare
Beschreibung
The company is dedicated to advancing personalized medicine and improving patient lives through innovative diagnostics and healthcare solutions.
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