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About
Set technical direction and standards for ML projects, including architectural decisions and troubleshooting complex challenges Mentor junior and mid-level ML engineers, conducting technical code reviews and creating growth opportunities Contribute code to critical components and develop reusable ML accelerators and frameworks
Required qualifications
Advanced knowledge across multiple ML domains and extensive experience building production-grade ML systems Proficiency in multiple ML frameworks such as TensorFlow, PyTorch, and scikit-learn, with advanced AWS experience Ability to design scalable, maintainable ML architectures and a strong understanding of ML infrastructure and operations Exemplary coding standards, including testing practices and advanced Git workflows Experience optimizing ML models and infrastructure, along with creating clear technical documentation
Languages
- English
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