
Senior Software Engineer - Machine Learning & Artificial Intelligence
Are you passionate about harnessing the power of technology to improve healthcare outcomes? Do you have a strong background in machine learning and artificial intelligence? Universal Health Services is seeking a talented Senior Software Engineer to join our team and drive innovation in healthcare. In this role, you will have the opportunity to work on cutting-edge projects that utilize machine learning and AI to enhance patient care and streamline operations. We are looking for a highly skilled and motivated individual with a proven track record of success in developing and implementing machine learning and AI solutions. If you are ready to make a meaningful impact in the healthcare industry, we want to hear from you!
- Lead the development and implementation of machine learning and AI solutions that improve healthcare outcomes for patients.
- Collaborate with cross-functional teams to identify areas where technology can be leveraged to enhance patient care and streamline operations.
- Conduct research and stay up-to-date on the latest advancements in machine learning and AI in the healthcare industry.
- Design, develop, test, and maintain software applications and systems utilizing machine learning and AI technologies.
- Ensure that all solutions are scalable, efficient, and reliable.
- Troubleshoot and resolve complex technical issues related to machine learning and AI solutions.
- Mentor and guide junior software engineers in the team.
- Collaborate with healthcare professionals and stakeholders to understand their needs and gather requirements for new projects.
- Provide technical expertise and guidance to other team members and project stakeholders.
- Stay updated with industry best practices and trends related to machine learning and AI in healthcare.
- Communicate project progress and status to stakeholders and management.
- Continuously evaluate and improve existing solutions to increase efficiency and effectiveness.
- Document code, processes, and project details to ensure easy maintenance and future enhancements.
- Adhere to company coding standards and guidelines.
- Participate in code reviews to ensure quality and maintainability of code.
Bachelor's Or Master's Degree In Computer Science, Engineering, Or A Related Field.
Minimum Of 5 Years Of Experience In Software Development, With A Focus On Machine Learning And Artificial Intelligence.
Proficient In Programming Languages Such As Python, Java, And C++, As Well As Experience With Machine Learning Libraries And Frameworks (E.g. Tensorflow, Keras, Etc.).
Previous Experience Working With Large Datasets And Developing Algorithms For Data Analysis And Predictive Modeling.
Strong Understanding Of Healthcare Concepts And Data, With Experience In Developing Solutions For The Healthcare Industry.
Data Analysis
statistical analysis
Big Data
Machine Learning
Deep Learning
Computer Vision
Artificial Intelligence
Natural language processing
Algorithm development
Predictive modeling
Neural Networks
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
Critical thinking
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Software Engineer - Machine Learning & Artificial Intelligence in Riverside, CA, USA is $120,000 - $150,000 per year. However, this may vary depending on the specific company, experience level, and other factors.
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Universal Health Services, Inc. (UHS) is one of the largest and most respected providers of hospital and healthcare services in the nation with more than 90,000 employees dedicated to improving people’s lives and transforming the delivery of healthcare. Through its subsidiaries, the company operates 26 Acute Care hospitals, 328 Behavioral Health inpatient facilities, and 42 outpatient facilities and ambulatory care centers in 37 states in the U.S., Washington, D.C., Puerto Rico and the United Kingdom. UHS also offers health insurance plans through Prominence Health Plan, and manages a network of physicians through Independence Physician Management.

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