Job Description Summary

Job Description

Peripheral Focused Ultrasound (PFUS) is a novel & emerging technology that leverages ultrasound to specifically regulate metabolic function in the body to support the treatment of chronic diseases such as type 2 diabetes and obesity. We are an industry leader in medical ultrasound in the market and you will be contributing to cutting-edge innovations that shape the future of healthcare. Your responsibilities will include:

Roles and Responsibilities

• Model Deployment and Integration: Collaborate with AI scientists to optimize package and deploy machine learning models into production environments efficiently and reliably.
• Infrastructure Design and Maintenance: Design build and maintain scalable and robust infrastructure for model deployment monitoring and management. This includes containerization orchestration and automation of deployment pipelines.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and manage CI/CD pipelines for automated model training testing and deployment.
• Model Monitoring and Performance Optimization: Develop monitoring and alerting systems to track the performance of deployed models and identify anomalies or degradation in real-time. Implement strategies for model retraining and optimization.
• Data Management and Version Control: Establish processes and tools for managing data pipelines versioning datasets and tracking changes in model configurations and dependencies.
• Security and Compliance: Ensure the security and compliance of deployed models and associated data. Implement best practices for data privacy access control and regulatory compliance.
• Requirements & Specifications: Author software requirements and design specifications acting as a feature lead by managing scheduling estimating efforts and overseeing implementation.
• Testing & Verification: Develop and execute unit integration and system tests to validate design and implementation throughout development cycles.
• Regulatory Clearance: Work with regulatory teams towards validation and clearance of AI tools.
• Documentation and Knowledge Sharing: Document deployment processes infrastructure configurations and best practices. Provide guidance and support to other team members on MLOps practices and tools.
• Collaboration and Communication: Collaborate effectively with cross-functional teams of clinical experts including AI scientists and business stakeholders. Communicate technical concepts and solutions to non-technical audiences.

Education Qualifications

• Bachelors or Masters degree in Computer Science Engineering Mathematics or related field.
• Minimum 10 years of professional experience in Software Engineering.
• Strong programming skills in languages such as Python.
• Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch ONNX scikit-learn).

Desired Characteristics / Technical Characteristics

• Knowledge of Image processing libraries in Python such a sitk and openCV.
• Understanding of machine learning concepts and algorithms
• Understanding of Image and Signal processing concepts and algorithms
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to take ownership of tasks and deliver.
• Regulated Standards Compliance: Proven experience in developing software according to regulated standards for the Software Development Life Cycle (SDLC) within the Medical Device industry.
• Agile Methodologies & Software Quality Systems: Familiarity with Agile software development practices and software quality systems.
• Software Configuration Management: Experience with Software Configuration Management tools such as Perforce and Git.
• Adaptability: Ability to excel in a fast-paced and dynamic work environment.
• Must be willing to work onsite at least 3 days a week

Additional Information

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.