What you'll be doing:
- Design, develop, and deploy AI/ML models to automate and improve internal workflow and review processes
- Build and maintain ML pipelines within an AWS cloud environment
- Collaborate with product and engineering teams to identify high-value automation opportunities and translate them into production-ready solutions
- Integrate ML capabilities into existing Java and React application workflows
- Monitor model performance and iterate based on real-world outcomes and stakeholder feedback
- Ensure all AI/ML implementations meet federal security and compliance requirements including FISMA and NIST 800-53
What you’ll bring:
- Hands-on experience designing and deploying machine learning models in production environments
- Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building and maintaining ML pipelines in AWS cloud environments
- Ability to work across engineering and product teams to deliver practical, integrated AI solutions
- Experience with natural language processing or document classification is a plus
- Familiarity with federal security frameworks (FISMA, NIST 800-53) is a plus
- Thrives in a remote, collaborative Agile environment and genuinely enjoys working closely with a cross-functional team
- Communicates clearly and openly, whether presenting model performance to stakeholders or collaborating with engineers on integration
Requirements:
- Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.
Education:
- Bachelor's Degree
Benefits:
- Fully remote
- Tech & Education Stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays