AI Engineer III
University of Utah Health · Salt Lake City Metropolitan Area · 1 wk ago
Information TechnologyFull-time
Responsibilities
- Develops, tests, and maintains AI models and systems for incorporation with software development, testing, and infrastructure operations.
- Collaborates with data scientists, software engineers, and other stakeholders to integrate AI solutions into existing systems.
- Develops, deploys and manages AI systems in production environments, and configures system settings for optimal performance and reliability.
- Implement sand enhances continuous delivery processes for AI solutions.
- Conducts research to stay current with the latest advancements in AI and machine learning.
- Optimizes and fine-tunes AI models for improved performance and scalability.
- Develops and maintains comprehensive documentation for AI models and systems.
- Troubleshoots and resolves issues related to AI models and their deployment.
- Provides technical guidance and mentorship to junior team members.
- Creates and maintains monitoring solutions for AI systems and services.
- Supports AI projects and models in production systems.
- Affords assistance in evaluating products and services for AI functionalities.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Three (3) years of experience in AI development, or related experience.
Skills
- Knowledge of modern software deployment methodology, including two or more of: continuous integration, continuous delivery, test-driven development, Agile/Scrum.
- Familiarity with one or more version control systems like Git or Perforce.
- Background in system administration or software development within a team setting.
- Basic understanding of centralized configuration systems.
- Strong proficiency in programming languages, such as Python, R, or Java.
- Skilled in using machine learning frameworks and libraries.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms and services like AWS, Azure, and Google Cloud.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work both independently and collaboratively.