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

**Company**: IHC Health Services, Inc. (dba Intermountain Health)
**Location**: Salt Lake City, Utah
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $98,000.00 - $118,000.00
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://imh.wd108.myworkdayjobs.com/en-US/IntermountainCareers/job/Key-Bank-Tower/Artificial-Intelligence--AI----Machine-Learning--ML--Engineer_R187019?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d1460741-775

## Description

We are seeking an Artificial Intelligence (AI) & Machine Learning (ML) Engineer to join our team.

As an AI & ML Engineer, you will design, develop, and test AI and Machine Learning systems and solutions across a variety of business problems. You will apply machine learning algorithms, deep learning, pretrained transformers, and statistical reasoning to create and optimize models. You will use AI/ML programming languages and tools to develop machine learning pipelines and systems, and leverage cloud platforms and distributed computing to optimize machine learning models.

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.

Requirements:

- Master's degree or equivalent foreign education in Computer Science, Data Science, Mechanical Engineering, Mathematics, or Statistics.

- 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.

Nice to have:

- Knowledge of Natural Language Processing (NLP).

- Knowledge of Artificially 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.

Benefits:

- Generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Salary: $98,000.00 - $118,000.00 per year.

Location: 36 S State St, Suite 2200, Salt Lake City, UT 84111. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington.

## Skills

### Required
- Python
- SQL
- Machine Learning
- Deep Learning
- Cloud Computing
- Linux
- bash scripting
- Natural Language Processing (NLP)
- Object-Oriented Programming
- Version Control
- Database Structures
- Analytics Engineering
- Data Analytics
- Business Analytics

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Source: [Apply at imh.wd108.myworkdayjobs.com](https://imh.wd108.myworkdayjobs.com/en-US/IntermountainCareers/job/Key-Bank-Tower/Artificial-Intelligence--AI----Machine-Learning--ML--Engineer_R187019?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
