Role overview
- Helping to build and maintain machine learning pipelines — from pulling in new data to training, testing, and deploying models — using modern cloud‑based tools and engineering practices.
- Monitor how models perform over time, watching for issues like data drift or drops in accuracy, and help improve them so they are reliable, efficient, and cost‑effective. Contribute to automating ML workflows using CI/CD and MLOps practices.
- Build and integrate AI agents using tools such as Copilot Studio, Python‑based agents, or retrieval pipelines to speed up analytics workflows and help the agency make faster, better‑informed safety decisions.
- Support the selection, training, and tuning of machine learning models — including models for prediction, anomaly detection, and natural language processing — ensuring they are accurate, fair, and scalable.
- Use deep learning frameworks like PyTorch and TensorFlow to work with both structured and unstructured data, helping ensure the models you develop meet quality standards for transparency and performance.
- Prepare clear technical documentation, summaries of model performance, and other materials that explain your work. Communicate complex AI/ML concepts in a way that non‑technical audiences can understand.
- Participate as a member of an Agile, cross‑functional team—collaborating with data engineers, analysts, program staff, and IT partners to deliver iterative improvements and solve problems together.
- Serve as a technical resource for data science principles, helping develop integrated “data fusion” products and staying current on emerging AI/ML methods through ongoing learning and collaboration.
- Take part in AI/ML working groups and communities of practice across the agency and federal space.
Basic qualifications
- U.S. Citizenship Required.
- A background investigation is required.
- Must meet education requirements.
- your performance and conduct;
- the needs and interests of the CPSC;
- whether your continued employment would advance organizational goals of the CPSC or the Government; and
- whether your continued employment would advance the efficiency of the Federal service.
Benefits
- Transcripts may support your qualifications for a federal job and can include high school, college or other schools.
- Job title
- Employer name
- Employment dates (MM/DD/YYYY)
- Hours worked per week (full-time assumed; part-time prorated)
- Detailed duties, accomplishments, skills, responsibilities, and supervisory details (if applicable)
- Series and grade or equivalent (for federal positions, if applicable)
- Download from your USAJOBS account; or
- Upload your file(s)
Tags & focus areas
Used for matching and alerts on DevFound Parttime Fulltime Remote Ai Engineer Machine Learning Ai