Medical AI Engineer
As an AI Engineer specializing in Healthcare Technologies, you will contribute to a broad range of projects, including image-based Clinical AI systems, generative-AI-driven drug and molecule design, AI-powered clinical decision-support assistants, and robotic applications in healthcare.
Responsibilities
- Develop deep-learning models for disease diagnosis from medical images (MRI, CT, histopathology).
- Build and optimize GenAI-based molecule-design models.
- Analyze large-scale biomedical datasets and improve model accuracy.
- Collaborate with the R&D team on data processing, model training, and validation workflows.
- Implement models using widely adopted ML/DL frameworks (TensorFlow, PyTorch).
- Continuously track academic and industry advances in healthcare AI and integrate them into projects.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Engineering, Bioinformatics, Artificial Intelligence, Electrical/Electronics Engineering, or a related field.
- Minimum 2 years of hands-on experience in deep learning, machine learning, or computer vision.
- Proven experience with medical image analysis and biomedical data.
- Knowledge of generative AI (GenAI) and bioinformatics models.
- Proficiency in model development with TensorFlow or PyTorch.
- Advanced Python skills and familiarity with data-processing libraries (NumPy, Pandas, OpenCV).
- Awareness of ethical considerations and regulations in healthcare.
- Team-oriented, research-driven, and solution-focused mindset.
Preferred Qualifications
- Prior involvement in AI projects for disease diagnosis.
- Familiarity with biotechnology and drug-discovery workflows.
- Experience with GPU-accelerated computing.
- Ability to read and implement cutting-edge academic papers.
If you are eager to work on innovative healthcare AI projects and contribute to life-saving technologies, we would love to have you on our team.