JOB DESCRIPTION SUMMARY

We are embarking on an effort to help build the next generation of smart GEHC imaging systems. These systems will be designed to optimize new Artificial Intelligence (AI) capabilities, product quality, and customer satisfaction. In order to accomplish this, we will delve into current GEHC imaging systems, learn where we need to focus improvements, and assist engineers in new system design.

JOB DESCRIPTION

You will be responsible for moving product capabilities of GEHC imaging systems into the age of machine intelligence. In this role, you will work across Engineering, Services, and Digital Technology teams. You will contribute to the development and deployment of modern machine learning, optimization, operational research, and statistical methods on machine data and device service history datasets.

EDUCATION QUALIFICATION

• Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

• Be responsible for providing technical leadership and defining, developing, and evolving data and advanced analytics products in a fast paced and agile development environment,
• Work with Project/Product Managers and stakeholders to understand product requirements and execute to the project vision,
• Identify opportunities for design improvements by performing retrospective analysis of historical machine log data vs service dispatches, apply statistical and machine learning techniques to provide insights on data patterns, asset usage, and design characteristics,
• Translate machine intelligence requirements and product/project vision into prioritized list of user stories, developing and delivering intelligent products to required timelines and quality standards,
• Provide leadership in data creation, formatting, gathering, and standardization to enable efficient and effective machine learning
• Communicate effectively with a wide range of business, engineering, and scientific teams,
• Support product and technology reuse and scalability,
• Drive world-class quality in the development and support of products,
• Engage subject matter experts in successful transfer of complex domain knowledge,
• Develop code that meets standards and delivers desired functionality using the technology selected for the project.