AI/ML Engineer, National Security, Google Public Sector

Job description

Minimum qualifications: - 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. Preferred qualifications: - Experience with LLMs and LLM-based solutions such as prompt engineering, fine-tuning, RAG workflows, and agentic systems. - Experience in containerizing ML workloads within Linux/Unix environments. - Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools. About the job: The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses...