Applied Machine Learning Engineer - 18194
Core
Develop, train, and optimize machine learning models for production use cases, including predictive models and decision-support systems.
Role type
Applied Machine Learning Engineer
Builds
Production ML pipelines, workflows, and model-driven decisioning systems
Domain
IT industry, machine learning, predictive modeling
Deliverable
production ML models
Required skills
Machine Learning Engineering, predictive modeling, model retraining, lifecycle management, production ML systems, exploratory data analysis, feature engineering, model-driven decisioning, TensorFlow, scalable ML system design
Preferred skills
bandit algorithms, model calibration, continuous improvement strategies, observability
Technologies
TensorFlow
Responsibilities
Develop and optimize ML models for production, build and maintain end-to-end ML pipelines, perform feature engineering and EDA, deploy models to production, implement retraining and calibration strategies, monitor model performance, collaborate with data and software engineers, contribute to new ML-powered features
Seniority
Mid-level, hands-on IC