Machine Learning Engineer

• Collaborate with experts in neurodegenerative diseases, AI, and business
• Build the framework, workflow, and code development for the platform
• Develop leading technologies with the potential to solve the world s most complex diagnostic challenges and improve people s lives
• Test and evaluate AI algorithms and software tool prototypes
• Conduct multiple analyses to test the suitability of the algorithms for further use in the screening and predictive component of the framework
• Perform imaging analyses, manage multivariate databases, and transfer/management of overall project data in a secure manner for analysis
• Assist Investigators and Consultants in the successful execution of projects
• Communicate the AI approach, model performance, and results to internal teams and investors
• Introduce new ideas and projects to innovate projects further
• Follow a data-first approach to create data-driven solutions

Job Requirements:

• Master s/Ph.D. degree in Software Engineering, Computer Science, Electrical or Biomedical Engineering, Physics, Mathematics (or experience in related fields)
• At least 5+ years of relevant experience as a Machine Learning Engineer
• Experience in computer science, mathematics, medical image analysis/processing, and AI
• Trained or experienced in computer vision, pattern recognition, neural networks, machine learning, deep learning research, algorithm optimization, high-performance computing, data structures, numerical methods, and statistics
• Skilled in software prototyping, data/image processing and analysis, and algorithm development using Python and/or C++
• Experience with one or more open-source tools such as TensorFlow, PyTorch, etc
• ML OPS skills and experience with AWS SageMaker are desirable
• Good to possess previous experience in image/signal processing and/or medical imaging, software development in ophthalmic imaging
• Hands-on experience with medical applications in ophthalmology is nice to have
• Experienced working for healthcare technologies posed for the FDA approval process is preferred
• Ability to work independently and with various interdisciplinary teams
• Strong written and spoken English communication skills