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 require learning and applying new technologies that may go beyond existing skills
Design, document, and implement reliable, testable, and maintainable solutions ML infrastructure capabilities
Requirements & Skills:
You have 3+ years of hands-on experience implementing production machine learning infrastructure at scale in Python, Java, or similar languages
You have a general understanding of data pipelines
You have experience with tools like TensorFlow or PyTorch
You are familiar with agile software processes and modular code design following industry standards
