Lead ML Engineer – Logistics, Production Deployments

A leading financial institution in Texas is hiring a Machine Learning Engineer to advance logistics technology through the development and optimization of ML models. The ideal candidate will have over 4 years of software engineering experience, deep knowledge of Python and SQL, and expertise in ML algorithms. Responsibilities include ensuring the efficiency and accuracy of deployed models, scaling their performance, and automating ML pipelines. Experience with Docker, Kubernetes, and AWS is essential for this role. #J-18808-Ljbffr