Associate AI/ML Engineer, Professional Services, Public Sector

Google is seeking an Associate AI/ML Engineer in their Public Sector team to guide customers in configuring and deploying AI and machine learning solutions. The role involves supporting customer implementations of Google Cloud products and delivering tailored solutions while traveling to customer sites. Responsibilities Translate business requirements into conceptual, logical, and physical data models Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production Coach customers on the practical issues in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models Travel regularly (up to 30%) for meetings, technical reviews, and onsite delivery activities Skills Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information Bachelor's degree in Computer Science or equivalent practical experience Experience with machine learning model development and deployment working with technical customers Experience in one or more programming languages (e.g., Python) Active, or the ability to obtain, a Top Secret/SCI security clearance Experience with LLMs and LLM-based solutions such as prompt engineering, fine-tuning, RAG workflows, and agentic systems Experience containerizing ML workloads Proficiency in Linux/Unix and C++ programming language Proficiency working in multiple cloud environments Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools Benefits Bonus Equity Benefits Company Overview Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. It was founded in 1998, and is headquartered in Mountain View, California, USA, with a workforce of 10001+ employees. Its website is