Hybrid in San Francisco, California
•
Today
Key Responsibilities: Design, develop, train, evaluate, and deploy production-grade machine learning and deep learning models for computer vision applications. Build end-to-end machine learning pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement. Train deep neural networks from scratch on large-scale image datasets and optimize model architectures for accuracy, latency, scalability, and robustnes
Easy Apply
Third Party, Contract
Depends on Experience













