Lead AI Feature Engineer
Core
Transforming complex enterprise, scientific, laboratory, and instrument data into high-quality features that power machine learning and AI solutions.
Role type
Lead AI Feature Engineer (hands-on IC)
Builds
Reusable feature data products, feature stores, and feature-generation pipelines
Domain
Enterprise AI, Life Sciences, Healthcare, Advanced Manufacturing
Deliverable
production ML models
Required skills
Feature engineering, predictive modeling, statistical analysis, data exploration, dimensionality reduction, feature selection, model performance optimization
Preferred skills
Feature store architecture, gradient boosting, ensemble methods, Bayesian modeling, optimization algorithms, forecasting
Technologies
Python, SQL, machine learning libraries, modern data-processing frameworks, cloud-based environments
Responsibilities
Discover, develop, and maintain high-quality features from complex datasets; Design and execute data exploration and feature-selection experiments; Build reusable feature data products and pipelines; Establish best practices for feature quality, lineage, and lifecycle management; Partner with Data Scientists and AI Engineers to translate challenges into scalable predictive capabilities; Apply statistical and ML techniques to identify valuable patterns.
Seniority
Lead, hands-on IC
