The role
The AI/ML Engineer will productionize forecasting and classification models used by operations customers. You will work with data engineers on features, evaluation, and monitoring rather than isolated research.
Responsibilities
- Train, evaluate, and deploy models used in customer workflows
- Build feature pipelines and model monitoring
- Collaborate with product on practical ML use cases
- Document model behavior, limits, and operational needs
Requirements
- 3+ years of applied ML or ML engineering experience
- Strong Python skills and familiarity with modern ML tooling
- Experience putting models into production, not only experimentation
- Ability to communicate model risk and value clearly
Skills
- Python
- Machine Learning
- PyTorch
- SQL
- Airflow
Benefits
- Hybrid work in Denver or New York
- Research time each month
- Health benefits
- Conference budget