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.
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