July 12
🔄 Hybrid – Manhattan
• Collaborate with other Machine Learning Engineers, Researchers, and various Product teams to deliver scalable inference services that meet the timelines and specifications of given requirements • Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skills • Design, document and implement reliable, testable and maintainable solutions ML infrastructure capabilities
• 3+ years of hands-on experience implementing production machine learning infrastructure at scale in Python, Java, or similar languages • General understanding of data pipelines • Experience with tools like TensorFlow or PyTorch • Familiar with agile software processes and modular code design following industry standards
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