Description
Key Responsibilities :
- Lead the design, development, and optimization of deep learning models for medical image analysis, including tasks like segmentation, classification, object detection.
- Provide technical leadership and mentorship to junior data scientists and engineers, fostering best practices in research methodology, coding standards, and documentation.
- Perform advanced error analysis, bias assessment, and domain generalization studies to ensure robustness across diverse populations and imaging devices.
- Guide data storage, preprocessing and annotation strategies, collaborating with clinical experts to ensure data quality and clinical validity.
- Collaborate cross-functionally with radiologists, regulatory teams, and product stakeholders to align AI development with clinical requirements and compliance standards.
Experience
- 3+ years Data Science/Machine Learning experience
Required Skills
- Strong programming skills in Python and familiarity with data science and image processing libraries (e.g.,
NumPy, pandas, scikit-learn, OpenCV, PIL).
- Strong fundamental knowledge of machine learning, computer vision and image processing.
- Hands-on experience with deep learning frameworks like Keras or PyTorch.
- Demonstrated experience with both CNNs and transformer-based architectures (e.g., ViT, Swin) for segmentation, detection, and classification tasks.
- Strong background with model evaluation and error analysis.
- Ability to bridge data science with engineering tasks, ensuring smooth integration of AI models into production workflows.
- Hands-on experience with model optimization techniques (e.g distillation, ONNX conversion) for efficient inference.
- Hands-on experience with containerization tools like Docker.
Desired Skills
- Familiarity with healthcare/radiology datasets, DICOM standards, and PACS integration.
- Experience with domain adaptation, and robustness strategies for cross-site/cross-device generalization.
- Experience with scalable backend development for AI applications
Qualification
- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
(ref:hirist.tech)
