Develop, deploy, and optimize production-scale ML models using deep learning frameworks like PyTorch/TensorFlow. Requires 5+ years experience, expertise in Python, distributed systems, and focus areas like computer vision or NLP.
Salary not listed
On-site5+ YOEML Engineering
About the role
Responsibilities
Design, code, train, tune, deploy, and analyze ML models at scale for production use cases
Write and maintain scalable, performant, secure code across platforms
Contribute to product and core backend systems with improvements
Improve engineering standards, tooling, processes, and security
Develop novel ML algorithms for large-scale use
Conduct metric-driven research to improve model performance
Mentor junior ML engineers and collaborate cross-functionally
Requirements
Bachelor's Degree in computer science or related field
5+ years building production-scale ML models
Expertise in PyTorch or TensorFlow
Expert in Python and/or shell scripting for data analysis
Experience with distributed systems for code and training
Knowledge in computer vision or NLP
Strong code quality, automated testing, and engineering best practices
Comfortable with ambiguity, tradeoffs, and end-to-end product development
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