AI/ML Engineer
Consumer Product Safety Commission
Summary As an Al/ML Engineer in CPSC's Analytics Center of Excellence, you advance the agency's mission by developing Al-enabled capabilities that accelerate all elements of CPSC's mission from risk detection, to enforcing regulations, and all manners of decision-making. You collaborate with program offices, support cloud native modernization, and provide insight on various highly technical Al/ML projects while balancing long term data strategy with rapid response needs. Learn more about this agency Duties Help This position is officially titled Data Scientist (Artificial Intelligence). The working title is AI/ML Engineer. The Artificial Intelligence (AI) / Machine Learning (ML) Engineer will design and implement advanced technical solutions [e.g., natural language processing (NLP) models, agent-native and open-source generative pre-trained transformers (GPTs), multi-agent orchestration, etc.] focused on extracting actionable insights, evaluating model performance, and enhancing product safety decision-making. This role emphasizes data quality, performance, and interoperability in modern cloud environments, enabling CPSC's strategic acceleration toward preventative analytics for product safety. This role requires collaboration with data engineers, statisticians, program analysts, IT specialists, and more. The AI/ML Engineer is responsible for:
- Helping to build and maintain machine learning pipelines - from pulling in new data to training, testing, and deploying models - using modern cloudbased 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 costeffective. Contribute to automating ML workflows using CI/CD and MLOps practices.
- Build and integrate AI agents using tools such as Copilot Studio, Pythonbased agents, or retrieval pipelines to speed up analytics workflows and help the agency make faster, betterinformed 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 nontechnical audiences can understand.
- Participate as a member of an Agile, crossfunctional 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.
- 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.
Vacancy posted 1 day ago
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