Low Code Artificial Intelligence Engineer 7-13-26

Macalogic•Beavercreek, OH

2d•$110,000 - $120,000•Remote

About The Position

This position provides senior artificial intelligence software development support to the Department of Commerce (DOC), International Trade Administration (ITA). The successful candidate will develop, operate, repair, and maintain systems, applications, and IT environments in support of AI applications and/or system components. This includes supporting/performing requirements analysis, planning, design, deployment, and ongoing operations management and technical support, all while employing SAFe agile practices.

Requirements

Knowledge and expertise with languages like Python.
Create software code and automated test and build scripts to ensure adherence to established configuration and change management principles.
Experience with developing and executing test plans, test scripts, and test tools to minimize defects.
Knowledge of how to diagnose problems, think critically, organize information, and develop optimal solutions for complex issues.
Bachelor's degree in information technology, computer science, or related fields of study.
Minimum of 2 years’ experience developing and maintaining AI solutions.
Must be a U.S. Citizen.
Excellent oral and written communication skills in English.
Must be able to work in a team environment with members that include personnel from other companies, Government program management and administrative personnel, and technical staff members.
Must be able to perform with minimal management oversight and have strong time management skills.
Must have completed or be able to complete a Tier 1 National Agency Check and be successfully adjudicated to occupy a Public Trust position.

Nice To Haves

Microsoft Certified: Azure AI Engineer Associate or similar certification is preferred.

Responsibilities

Developing algorithms and building predictive models from the ground up, using machine learning and deep learning frameworks.
Scaling prototypes into Machine Learning (ML) models.
Preprocessing data.
Automating and orchestrating ML pipelines.
Managing new and existing data and models.
Ensuring the quality and accuracy of data fed into models.
Serving and scaling models.
Deploying and monitoring ML solutions.
Designing and developing AI models, algorithms, and applications to solve specific problems.
Collaborating to preprocess and analyze large datasets.
Implementing machine learning and deep learning algorithms and frameworks.
Fine-tuning AI models for improved performance and accuracy.
Documenting code, algorithms, and processes for future references.
Integrating AI models into production systems.