Gen - AI Developer creating and assessing architecture for CQUniversity’s digital systems. Supporting innovation through GenAI proof - of - concepts and applications development.
About the role
- Low Code AI Engineer responsible for developing, deploying, and maintaining AI solutions for the International Trade Administration. Focuses on low-code platforms and predictive models while ensuring data integrity in a federal environment.
Responsibilities
- Develop algorithms and predictive models using machine learning and deep learning frameworks.
- Scale AI/ML prototypes into production‑ready solutions.
- Preprocess, validate, and manage structured and unstructured datasets.
- Automate, orchestrate, and monitor machine learning pipelines.
- Manage versioning, deployment, and lifecycle of models and datasets.
- Ensure data quality, accuracy, and integrity throughout the ML lifecycle.
- Serve and scale ML models in cloud environments.
- Deploy, monitor, and maintain AI/ML solutions in development, staging, and production.
- Collaborate with cross‑functional teams using SAFe Agile methodologies.
- Utilize Government‑provided DevOps and cloud platforms.
- Produce clear technical documentation compliant with federal standards.
Requirements
- U.S. Citizenship (required).
- Ability to obtain and maintain a NACI or higher background investigation.
- Minimum two (2) years of experience.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- Experience developing and deploying machine learning models.
- Hands‑on experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with ML pipeline automation and orchestration tools.
- Experience working in Agile or SAFe environments.
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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