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Intern - Technical

Podrobnosti o osobě
512415
Zveřejněno od
27-Čvc-2026
Obor
Internal Services
Společnost
Siemens Healthcare Private Limited
Úroveň zkušeností
Student/ka
Název pozice
Plný úvazek
Režim práce
Pouze na pracovišti
Druh smlouvy
Trvalý
Lokalita
  • Bengalúru - Karnátaka - Indie
About Us
Digital Technology & Innovation (DTI) at Siemens Healthineers develop breakthrough technologies that advance precision medicine, digital clinical workflows, and sustainable healthcare delivery. Our work spans deep learning for medical image analysis, multimodal intelligence, foundational models, and AI engineering for scalable clinical integration. The Artificial Intelligence India (AII) team supports this mission by designing, developing, and translating state-of-the-art AI algorithms into solutions spanning the Siemens Healthineers’ portfolio. As part of the Medical Image Analysis focus area, you will help create AI-enabled innovations that support clinicians, improve outcomes, and establish the future of intelligent imaging.
Tasks and Responsibilities
• Prepare and curate imaging datasets—including preprocessing, augmentation, quality checks, and annotation alignment.
• Explore advanced deep learning model architectures to support 3D medical image analysis.
• Develop reproducible pipelines for model training, validation, and benchmarking.
• Perform detailed error analysis, model debugging, and robustness/uncertainty evaluations.
• Work closely with AI scientists, domain experts, and engineers to translate research ideas into prototypes/products.
• Implement experimental workflows following internal engineering and documentation guidelines.
• Summarize findings through reports, presentations, or research publications.
Required Technical Skills
• Strong background in deep learning and medical image analysis.
• Practical/working experience with computer vision models, preferably in 3D imaging tasks.
• Proficiency with one or more DL frameworks such as PyTorch.
• Solid coding skills in Python, including the use of NumPy, SciPy, OpenCV, and scientific toolkits.
• Working knowledge of Git, reproducible experiments, and clean coding practices.
• Familiarity with model optimization techniques (e.g., distributed training, hyperparameter search) is an advantage.
• Understanding at least one medical imaging domain (e.g., CT, MRI, X-ray, Ultrasound) is a plus.
Expected Soft Skills
• Self-motivation and passion for solving real-world problems.
• Eagerness to learn, explore, and adapt in an R&D environment.
• Effective written and verbal communication for technical topics.
Education
• Students pursuing a Master’s or PhD in Computer Science or Electrical/Electronic Engineering or Biomedical Engineering or Applied Mathematics or a related field.
• Coursework or prior projects in AI/ML are highly desirable.