Senior AI/ML Engineer

Temple Square Hospitality CorporationRiverton, UT
41d

About The Position

The Senior AI/ML Engineer is a master, professional role responsible for operationalizing and applying developed AI systems. Primary responsibilities involve leveraging AI systems to generate valuable outcomes utilizing underlying models. This role requires a strong technical background and a practical understanding of AI technologies, including applying AI solutions for the benefit of the Church. This position fully participates as a technical leader and influences engineering teams and leads in AI related work.

Requirements

  • Bachelor's degree in computer science, artificial intelligence, machine learning, or a related field or equivalent experience.
  • Eight years of industry-recognized, progressive, and relevant experience.
  • Three years of specialized experience in the AI/ML technologies and methodologies
  • Prior experience in a leadership role, leading a team (of four or more) through the releases of several (three or more) successful products, at least one of which must be a large-scale enterprise application
  • Expert experience in a technical role, preferably with a focus on applying AI or machine learning technologies.
  • Strong experience with AI tools and platforms (e.g., TensorFlow, PyTorch).
  • Experience deploying AI/ML models to production.
  • Strong understanding of AI and machine learning concepts at a practical level, with the ability to apply these technologies to solve problems.
  • Adept problem-solving skills and the ability to troubleshoot technical issues.
  • Strong communication skills, with the ability to convey complex technical information to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Nice To Haves

  • Master's degree in computer science, artificial intelligence, machine learning, or a related field

Responsibilities

  • Operate and manage complex AI systems, ensuring they are efficiently applied to relevant projects.
  • Monitor the performance of AI systems, troubleshooting and performing routine maintenance to ensure optimal functionality.
  • Collaborate with cross-functional teams, including engineering, development, and product teams, to implement AI solutions effectively.
  • Contribute to the creation of team-wide strategies
  • Act as a technical lead and mentor less experienced engineers
  • Provide expert technical support and guidance on the application of AI systems to stakeholders within the company.
  • Keep abreast of the latest AI technologies and industry trends to suggest improvements and updates to existing systems.
  • Document technical procedures, system configurations, and application guidelines for internal use.
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