Job Description
- Work on AI-driven diagnostic tools for medical imaging and healthcare applications.
- Develop and improve deep learning and computer vision algorithms for medical image analysis.
- Contribute to products such as retinal analysis and diabetic retinopathy screening systems.
- Build scalable AI models that improve diagnostic accuracy and healthcare outcomes.
- Collaborate with cross-functional teams to integrate AI solutions into existing medical products.
- Participate in research and innovation in deep learning and AI technologies.
Key Responsibilities
- Design and develop deep learning models for medical imaging analysis.
- Improve and optimize computer vision algorithms.
- Build real-time medical image processing systems.
- Research and apply latest advancements in AI and machine learning.
- Integrate AI models with existing medical devices and software products.
- Develop APIs for AI model interaction and services.
- Deploy AI models using containerization and Kubernetes environments.
- Optimize model performance for accuracy, scalability, and efficiency.
- Lead technical initiatives and mentor junior engineers.
- Maintain high standards for quality, testing, and system performance.
Education
- UG: Any Graduate
- PG: Any Postgraduate
Experience
- Strong professional experience in deep learning and computer vision.
- Experience working with medical image analysis is preferred.
- Hands-on experience in AI/ML model development and deployment.
Required Technical Skills
- Python programming
- Deep Learning
- Computer Vision
- Machine Learning
- Neural Networks
- AI frameworks such as TensorFlow or PyTorch
- Image Processing
- API Development
- Model Containerization
- Kubernetes deployment
Soft Skills
- Strong analytical and problem-solving ability
- Leadership and mentoring capability
- Good communication and teamwork
- Ability to work in research-driven environments
- Innovative mindset for AI product development
