AI & Machine Learning Software Engineer

Murata Viosis a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical‑grade sensors and virtual patient care services, we plan to lower the cost of healthcare and improve patient outcomes. Murata Viosis is looking for qualified individuals who contribute to our vision through sound product development engineering practices and passionate sales and marketing leadership. Pay found in job post Retrieved from the description. Base pay range $79,202.00/yr - $106,032.00/yr AI & Machine Learning Software Engineer Locally based in St. Paul, MN, US. A hybrid work model from Woodbury, MN is possible. The role involves designing, developing, and implementing AI/ML algorithms that enhance our medical devices and improve patient outcomes. The AI and Machine Learning Software Engineer works alongside cross‑functional teams to deliver impactful solutions while adhering to regulatory standards. What To Expect (Essential Job Responsibilities) Develop and Implement AI/ML Models: design and develop machine learning algorithms that analyze medical data (e.g., images, biosignals) to support diagnostic and predictive capabilities. Data Management: collect, preprocess, and analyze large biomedical datasets, ensuring data integrity and compliance with privacy regulations (e.g., HIPAA). Algorithm Optimization: optimize existing machine learning models for performance, accuracy, and efficiency; conduct testing and validation according to regulatory standards (e.g., ISO 13485). Collaboration: work closely with clinical and research teams to understand user needs and translate them into technical specifications for AI solutions. Integration: collaborate with software engineers to integrate AI/ML models into existing software frameworks and ensure seamless operation of medical device systems. Documentation: prepare technical documentation such as design specifications, testing protocols, and user manuals in compliance with medical device regulations. Stay Updated: keep updated on the latest advancements in AI/ML technologies, best practices, and regulatory changes pertinent to the medical device industry. Support and Maintenance: provide ongoing support and enhancements for deployed models and algorithms based on user feedback and performance monitoring. What Is Required (Qualifications) Master’s degree in computer science, Software Engineering, Machine Learning, Biomedical Engineering, or a related field; Ph.D. is preferred. 3+ years of experience in software development with a focus on AI/ML applications, preferably in the medical device or healthcare sector. Proficiency in programming languages such as Python, R, and Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, scikit‑learn). Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Tableau). Understanding of data preprocessing techniques and feature engineering. Knowledge of algorithms and techniques for supervised and unsupervised learning. Familiarity with cloud services (AWS, Azure, Google Cloud) for model deployment and management is a plus. Knowledge of FDA regulations, ISO standards (e.g., ISO 13485), and compliance requirements applicable to medical devices. Excellent problem‑solving skills and a strong analytical mindset. Strong communication skills to collaborate effectively with team members and stakeholders. Perks Comprehensive benefits package including medical, dental, and vision insurance. Generous Paid Time Off including paid holidays and floating holidays. 401(k) employer match on retirement planning. Hybrid working schedule for eligible positions. Tuition reimbursement on approved programs. Flexible and health spending accounts. Talent Development program. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Hospitals and Health Care Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans. The company embraces a diverse workforce and commits to equal employment opportunity for all applicants and employees. Discrimination on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender, gender identity, genetic information, national origin, ancestry, disability, veteran status, marital status, sexual orientation, or any other protected characteristic is prohibited. #J-18808-Ljbffr