The ML Data Engineer role at autonomous-teaming focuses on managing the data lifecycle of perception systems, crucial for optimizing model performance in real-world applications. Responsibilities include architecting scalable data pipelines, strategizing object detection datasets, and implementing active learning loops. Candidates should have over five years of experience in Python and data processing, along with a strong understanding of ML workflows, data orchestration, and evaluation metrics.