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Job Description

Description :



We are looking for a Senior Computer Vision Engineer who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging.

You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning.



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, pre processing 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 in Computer Vision/Image Processing/Data Science/Machine Learning.



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.



Company Location : Baner, Pune.


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