Computer Vision Engineer

Niramai is a pioneering HealthTech startup developing AI-powered solutions for early detection of breast cancer using thermal imaging. The company has won numerous awards including recognition from Frost & Sullivan and BIRAC for innovation in medical technology. Niramai's solution has been deployed across hospitals and screening centers, making cancer detection accessible and affordable for women across India.

This Computer Vision Engineer position involves developing and optimizing deep learning models for medical image analysis, specifically focused on thermal imaging for cancer detection. You will work on cutting-edge research in image processing, model optimization, and clinical validation. This is a unique opportunity to apply AI/ML skills to solve critical healthcare challenges and save lives.

• Design and develop computer vision algorithms for thermal image analysis and anomaly detection
• Build and optimize deep learning models using CNNs, Vision Transformers, and advanced architectures
• Implement image preprocessing pipelines including segmentation, registration, and feature extraction
• Collaborate with medical professionals to validate model outputs and improve clinical accuracy
• Optimize models for deployment on edge devices and cloud infrastructure with low latency requirements
• Conduct research on state-of-the-art computer vision techniques and publish findings in peer-reviewed journals

• 6-8 years of hands-on experience in computer vision, deep learning, or medical imaging
• Strong expertise in PyTorch or TensorFlow with proven track record of deploying production models
• Deep understanding of CNNs, object detection, image segmentation, and transfer learning techniques
• Experience with medical imaging modalities (CT, MRI, X-ray, thermal) is highly preferred
• Proficiency in Python, OpenCV, and image processing libraries
• Master's or PhD in Computer Science, Electronics, or related field with focus on computer vision
• Publications in top-tier conferences (CVPR, ICCV, MICCAI) or medical AI journals is a strong plus

• Competitive package between ₹22L – ₹28L per annum
• Work on meaningful AI solutions that directly impact early cancer detection and save lives
• Collaborate with world-class researchers and clinicians on breakthrough medical technology
• Hybrid work model offering flexibility with 3 days in office
• Opportunity to contribute to research publications and patents in medical AI

This opening is not listed on any public job portal. It is a verified internal opportunity exclusively accessible through the website careerjump.co.in and directly apply to this job role. They also have similar job openings posted daily on their website. You can also join their WhatsApp Community for daily updates on verified internal job openings.