Machine Learning Engineer
CurrentFeature Lead- Leading a team of up to 10 engineers for research and development following an Agile Methodology- Perform duties of Scrum Master and Product Owner- Write feature/ system level requirements- Research best practices and State of the Art algorithms for implementation- Compose data collection, extraction, and annotation guides- Work closely with other feature leads and system architects for integration, testing, and documentation- Provide weekly updated to Senior ManagementMachine Learning Engineer- Develop, train, and evaluate multiple models using PyTorch in various domains: dynamic object detection using both 32-line LiDAR point clouds and 2D RGB images; and Scene Text Recognition - Built pipelines to ingest, upload, and visualize point clouds using Airflow and AWS- Implemented Active Learning pipeline to be used in failure case analysis and improved model performance- Researched, developed, trained, and evaluated models for estimating model and data uncertainty- Created packages for visualizing and handling data using Python's Poetry package