Google Public Sector is looking to solve the problem of helping United States public sector institutions accelerate their digital transformations, specifically in the area of machine learning model development and deployment for national security customers.
Requirements
- 6 years of experience with machine learning model development and deployment, frameworks (e.g., PyTorch, TensorFlow, Jax, Ray, etc.).
- 6 years of experience in working with technical customers.
- Experience with Python.
- Experience with C++ programming language.
- Experience in Linux/Unix.
- Experience with AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning Application Programming Interface (APIs).
- Experience in optimizing Large Language Model (LLMs) leveraging Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques.
Responsibilities
- Act as a trusted technical advisor to customers and solve machine learning tests.
- Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of business and technical stakeholders.
- Work with Customers, Partners, and Google Product teams to deliver solutions into production.
- Coach customers on the practical tests in Machine Learning systems like feature extraction/feature definition, data validation, monitoring, and management of features/models.
- Lead design and implementation of AI-based solutions, web services, and debugging tools and containerize ML workloads.
- Optimize Large Language Model (LLMs) leveraging Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques.
- Build solutions for national security customers.
Other
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Active Top Secret/SCI US government security clearance.
- Travel up to 30% of the time in-region for meetings, technical reviews, and onsite delivery activities as needed.
- Ability to lead design and implementation of AI-based solutions, web services, and debugging tools and containerize ML workloads.
- Strong communication and collaboration skills to work with customers, partners, and Google product teams.
