Artificial Intelligence Engineer (Healthcare Technologies)

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.