The Google Cloud Consulting Professional Services team guides customers through their cloud journey to help businesses thrive. As an AI/ML Engineer, you will design, prototype, and implement modern technical architectures, acting as a trusted technical advisor, resolving challenges, and sharing best practices through various forms of technical content.
Requirements
- Bachelor's degree in Computer Science or equivalent practical experience
- 6 years of experience building machine learning solutions and working with technical customers
- Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design
- Experience with frameworks for deep learning (e.g., Tensorflow, Jax, PyTorch, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs
- Must possess an active Top Secret/SCI security clearance with current polygraph
- Ability to travel up to 30% of the time