Skills and Qualifications
Technical Expertise:
Strong proficiency in programming languages like Python, R, or Java.
Experience with machine learning libraries and frameworks
Understanding of deep learning architectures and model training techniques.
Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
Domain Knowledge:
Basic understanding of medical terminology and healthcare processes.
Ability to interpret and analyze medical data responsibly.
Additional Skills:
Excellent communication and collaboration skills.
Problem-solving and critical thinking abilities.
Attention to detail and strong work ethic.
MSc or PhD in Computer Science, Engineering, or a related field, with experience in AI, is preferred.