Artificial Intelligence (AI) & Machine Learning (ML) Engineer

Intermountain Health•Dayton, OH

7d•$98,000 - $118,000•Hybrid

About The Position

Intermountain Health is hiring an Artificial Intelligence (AI) & Machine Learning (ML) Engineer to design, develop, and test AI and machine learning systems and solutions for a variety of business problems. The role applies machine learning algorithms, deep learning, pretrained transformers, and statistical reasoning to create and optimize models, and uses AI/ML programming languages and tools to develop machine learning pipelines and systems. The engineer leverages cloud platforms and distributed computing to optimize models and works closely with Machine Learning Operations Engineers to deploy systems using software engineering best practices. The position is based at Key Bank Tower in Salt Lake City, Utah, and may telecommute from any U.S. state except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. The usual schedule is 8 a.m. to 5 p.m., Monday through Friday, for 40 scheduled hours per week. This is a permanent direct-hire position; contract labor applications will not be considered. Applicants are subject to drug testing/screening and background checks upon hire.

Requirements

Master’s degree or equivalent foreign education in Computer Science, Data Science, Mechanical Engineering, Mathematics, or Statistics.
At least 1 year of experience in applied data science modeling or analytics.
Knowledge of applying machine learning algorithms, deep learning models, and transformer architectures to various data sets and problems.
Knowledge of Python and SQL.
Knowledge of statistical reasoning and probabilistic outcomes.
Knowledge of object-oriented programming design and systems.
Knowledge of version control processes and systems.
Knowledge of database structures and analytics engineering.
Knowledge of data analytics and business analytics.
Knowledge of cloud computing platforms and distributed computing best practices.
Knowledge of Linux and bash scripting.
Knowledge of Natural Language Processing (NLP).
Knowledge of Artificial Intelligence agents and decision-making architecture.
Knowledge of all aspects of the data science life cycle, including problem identification, data collection, data preparation, information/feature extraction, analytics method development, algorithm and model development, solution deployment and maintenance, customer consulting, and communicating with non-technical business stakeholders.
Applicants must provide a resume and responses to pre-screening questions to be considered.

Responsibilities

Design, develop, and test AI and machine learning systems and solutions across a variety of business problems.
Apply machine learning algorithms, deep learning, pretrained transformers, and statistical reasoning to create and optimize models.
Use AI/ML programming languages and tools to develop machine learning pipelines and systems.
Leverage cloud platforms and distributed computing to optimize machine learning models.
Work closely with Machine Learning Operations Engineers to deploy AI and ML systems using software engineering best practices.