Jobs · Information Technology · Utah

AI Engineer III

University of Utah Health · Salt Lake City Metropolitan Area · 2 mo 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.

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