in-tech, an Infosys Company are looking for an experienced Senior AI / Computer Vision Engineer to join in-tech and work on advanced AI solutions for medical imaging and healthcare applications. The ideal candidate will bring strong expertise in Computer Vision, Deep Learning, Medical Image Analysis, 3D Reconstruction, and Image Segmentation, along with excellent Python skills. You will work on complex technical challenges involving multiple medical imaging modalities and contribute to the development of AI solutions in a regulated medical-device environment.

Location:
Pune (Hybrid role)

Key Responsibilities
• Design, develop, and optimize AI and deep learning models for medical imaging applications.
• Develop solutions for 3D reconstruction from 2D medical images across different medical imaging modalities.
• Build and enhance medical image segmentation models, including architectures such as U-Net and related deep learning approaches.
• Develop, train, fine-tune, and evaluate deep learning and computer vision models.
• Apply advanced model fine-tuning and optimization techniques to improve accuracy, robustness, and performance.
• Develop scalable AI/ML solutions using Python, PyTorch and/or TensorFlow.
• Leverage cloud platforms, preferably AWS, for model development, training, deployment, and experimentation.
• Collaborate with cross-functional engineering, clinical, product, and domain teams to translate complex requirements into practical AI solutions.
• Contribute to technical and regulated medical-device documentation, ensuring traceability and compliance throughout the development lifecycle.
• Troubleshoot complex technical challenges and proactively identify opportunities to improve models, processes, and overall solution quality.




• Communicate technical concepts effectively to both technical and non-technical stakeholders. Required

Qualifications:
• 6+ years of relevant industry experience in AI, Machine Learning, Computer Vision, Medical Imaging, or related areas.
• Master's or Ph.
D. in Computer Science, Biomedical Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related discipline.
• Exceptional proficiency in Python.
• Robust hands-on experience with PyTorch and/or TensorFlow.
• Strong expertise in Computer Vision and Deep Learning.
• Demonstrated experience with advanced model fine-tuning, training, and optimization techniques.
• Hands-on expertise in 3D reconstruction from 2D images, preferably involving multiple medical imaging modalities.
• Strong knowledge of medical image segmentation, including U-Net or similar architectures.
• Experience working with major cloud platforms, with AWS preferred.
• Proactive, adaptable, and collaborative, with the ability to positively influence the wider engineering team.
• Excellent verbal and written communication skills, with the ability to tailor communication to different audiences. Preferred

Qualifications:
• Experience with medical imaging modalities such as CT, MRI, X-ray, ultrasound, fluoroscopy, or similar imaging technologies.
• Experience with medical imaging standards and formats such as DICOM.
• Familiarity with medical image processing frameworks or libraries such as MONAI, SimpleITK, OpenCV, or 3D Slicer.
• Exposure to AI/ML development within a regulated healthcare or medical-device environment.
• Understanding of medical-device software development and documentation practices, including standards such as IEC 62304 or ISO 13485, would be advantageous. If you are available & interested, please share your CV across to [email protected] OR you can attach it here.

📌 AI Developer (India)
🏢 in-tech
📍 India