AI Engineer
Job in
Saint George, Washington County, Utah, 84770, USA
Listed on 2026-06-03
Listing for:
beatBread
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Job Description & How to Apply Below
As an AI Engineer, you will design, build, and deploy sophisticated AI solutions that drive innovation and strategic impact across the organization. Collaborating closely with cross-functional teams, you will develop and optimize machine learning models, refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs.
This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques.
Essential Duties and Responsibilities
- Lead the end-to-end development, testing, and deployment of AI and ML models
- Architect and maintain scalable data pipelines using Python, SQL, and AWS services
- Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs
- Build and manage containerized environments and workflows with Docker
- Collaborate with data scientists and engineers to optimize model performance and reliability
- Implement, monitor, and improve model training processes, including domain-specific custom training
- Advise on and adopt new AI frameworks and best practices to enhance the organization's AI capabilities
- Troubleshoot and resolve performance and security issues related to AI systems
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
- 4-8 years of experience in AI engineering, data science, software engineering, software development, or related roles.
- Proficiency in Python for data manipulation, scripting, and model development
- Solid understanding of SQL for data querying, management, and optimization
- Hands-on experience with Docker for containerization and deployment
- Familiarity with ChatGPT, OpenAI APIs, and other large language models
- Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation)
- Experience working with AWS (e.g., S3, EC2, Lambda) for cloud-based solutions
- Ability to collaborate effectively with cross-functional stakeholders
- Proven track record of learning and adapting to emerging AI technologies and tools
- Flexible to work additional hours as needed to meet project deadlines.
- Ability to sit and work at a computer for extended periods.
- Occasional lifting of equipment or materials may be required, but not exceeding 20 pounds.
- Ability to communicate effectively in person, over the phone, and through digital channels.
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