onsite
AI/ML Engineer - Consumer Product Safety Commission
ML Engineer
AI/ML Engineer developing data‑driven models to detect and mitigate consumer product hazards, leveraging Python, machine learning, statistical analysis, and SQL for high‑impact public safety analytics.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to identify product safety risks from large, heterogeneous datasets.
- Perform exploratory data analysis, feature engineering, and statistical modeling to support evidence‑based decision making.
- Collaborate with epidemiologists and risk analysts to translate analytical findings into actionable insights.
- Maintain reproducible data pipelines and model documentation using version control and best practices.
- Communicate results through clear visualizations and technical reports for cross‑functional stakeholders.
Requirements
- Proficiency in Python, including libraries such as pandas, scikit‑learn, and TensorFlow/PyTorch.
- Strong background in statistical analysis, hypothesis testing, and predictive modeling.
- Experience with SQL and relational database querying.
- Excellent problem‑solving skills and ability to work independently in a mission‑critical environment.
- Effective communication skills for presenting complex findings to non‑technical audiences.
Skills
pythonmachine learningdata analysissql