Low Code AI Engineer

Job Duties And 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.

Job Requirements (Education/Skills/Experience)

• MUST have 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.

Desired Qualifications

• Master’s degree in a related technical field.
• Experience with low-code or no-code AI/ML platforms.
• Experience deploying models in cloud environments (AWS, Azure, or GCP).
• Knowledge of MLOps practices, CI/CD pipelines, and monitoring tools.
• Prior experience supporting federal or government clients.
• Familiarity with AI governance, ethics, and security considerations.
• Experience using Azure DevOps or similar tools.