Machine Learning Engineer

Lead ETL processes, exploratory data analysis, and feature engineering for biomedical time-series data. Design, prototype, and deploy machine learning algorithms focused on classification, anomaly detection, regression, and prediction tasks. Develop robust, production-grade Python code following industry best practices and maintain CI workflows. Collaborate with cross-functional teams to translate algorithmic innovations into tested, deployable solutions. Present findings and methodologies to stakeholders, adapting approaches based on feedback and business needs. Requires a BS/MS in CS or Electrical Engineering with strong foundations in probability, statistics, linear algebra, optimization, and ML; experience with Python, MATLAB, C/C++, and CI tools; hybrid onsite schedule.