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
Robust 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 RD setting.
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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Intern Research Bengaluru (India)
🏢 Siemens Healthcare
📍 India