Role overview
Job Duties and Responsibilities: :
- Design, develop, test, and deploy AI and machine learning models.
- Manage data ingestion, preprocessing, validation, and feature engineering.
- Build, deploy, and maintain AI infrastructure and pipelines.
- Optimize model performance, scalability, and reliability.
- Automate workflows and integrate AI solutions with enterprise systems.
- Monitor models in production and implement continuous improvements.
- Collaborate with product owners, developers, and data teams in SAFe Agile environments.
- Ensure solutions align with federal security, compliance, and governance requirements.
- Maintain technical documentation and operational runbooks.
- Other duties as assigned.
Job Requirements (Education/Skills/Experience)::
What we're looking for
Desired Qualifications:
- Master’s degree in a technical field.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with MLOps, CI/CD pipelines, and automation tools.
- Experience supporting federal or public-sector IT programs.
- Knowledge of AI governance, ethics, and security best practices.
Work Location: Remote preferred with occasional on-site support in Washington, DC, as required.
This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.