AI Engineer III
University of Utah Health23 hours ago
Salt Lake City, UT, USASenior
Responsibilities
- Develop, test, maintain, deploy, and manage AI models and systems for integration with software, testing, and infrastructure operations.
- Train, optimize, and fine-tune AI models and algorithms using large datasets.
- Collaborate with data scientists, software engineers, and stakeholders to integrate AI solutions into existing systems.
- Configure production AI systems for performance and reliability and troubleshoot model and deployment issues.
- Implement and enhance continuous delivery processes for AI solutions.
- Create and maintain documentation and monitoring solutions for AI systems and services.
- Research advancements in AI and machine learning and evaluate products and services for AI functionality.
- Provide technical guidance and mentorship to junior team members and support AI projects in production.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Three years of experience in AI development or related experience.
- Strong proficiency in Python, R, or Java.
- Experience with machine learning frameworks and libraries, data preprocessing, feature engineering, and model evaluation.
- Familiarity with AWS, Azure, or Google Cloud.
- Knowledge of modern software deployment methodologies, including at least two of continuous integration, continuous delivery, test-driven development, and Agile/Scrum.
- Familiarity with Git or Perforce, centralized configuration systems, and software development or system administration in a team setting.
- Strong analytical, problem-solving, communication, and collaboration skills.
About University of Utah Health
University of Utah Health is the nonprofit academic health system of the University of Utah, based in Salt Lake City and founded in 1965. It operates five hospitals (including a Level 1 trauma center), eleven community health centers, specialty institutes, and a regional health plan, providing care across Utah and neighboring states while advancing research and medical education. Revenue comes from clinical services, insurance premiums, and sponsored academic programs.