Build and maintain AWS-based machine learning platform infrastructure supporting model training, evaluation, deployment, annotation, and multi-tenant data management. Develop full-stack tools, optimize deep learning models for training and inference, implement containerized CI/CD workflows, and improve cloud cost efficiency. The role focuses on vision-based machine learning, edge deployment, serverless architecture, and scalable production pipelines while collaborating with machine learning scientists and cloud engineering teams.

Develop and optimize deep learning models for computer vision applications, focusing on neural network architecture, training, inference optimization, and production deployment. Build tools and infrastructure for model training, evaluation, and deployment in Linux and cloud environments. Research emerging machine learning techniques, integrate them into products, and collaborate with software engineers on customer-focused projects throughout the product lifecycle.