Machine Learning Engineer

The primary function of the Machine Learning (ML) Engineer is to develop and deploy machine learning models using Python or other industry programming languages.

• Develop and Implement ML Models: Design and deploy machine learning algorithms and models to analyze and interpret complex medical data, contributing to the advancement of our medical devices.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and clinical experts to integrate machine learning solutions into existing and new medical device platforms.
• Data Preprocessing and Analysis: Collect, clean, and preprocess large datasets from various sources to ensure the accuracy and quality required for training robust machine learning models.
• Performance Optimization: Enhance the performance of machine learning models by tuning hyperparameters, selecting appropriate algorithms, and employing techniques to prevent overfitting.
• Stay Updated with Industry Trends: Keep abreast of the latest developments in machine learning, artificial intelligence, and the medical device industry to ensure our solutions remain at the forefront of technological innovation.
• Compliance and Documentation: Ensure all machine learning models and processes comply with relevant medical regulations and standards. Maintain thorough documentation for model development, validation, and deployment processes.

Education and/or Work Experience Requirements
• Bachelor’s Degree in Computer Science, Electrical Engineering, Biomedical Engineering or related Engineering field required
• Master’s in computer science preferred
• Minimum 2+ year’ experience

Qualification Requirements
• Proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Familiarity with data preprocessing techniques and tools.
• Excellent verbal and written communication skills
• Strong analytical and problem-solving skills
• Ability to manage competing priorities in a fast-paced environment
• Comfort navigating ambiguity, and an ability to create in an undefined, unestablished environment
• Proven experience in developing and deploying machine learning models, preferably in the medical device or healthcare industry.
• Must be highly collaborative and comfortable working with people in a matrixed environment.
• Exceptional verbal and written communication skills. •

Physical Requirements
• Requires occasional early morning or evening teleconference
• Remote with Ability to travel (domestic and international) (25%) required
• Works under general office environmental conditions
• Sits for extended periods, utilizes close visual acuity working with computers, etc.