Senior Technical Solutions Consultant, gUP Gemini Apps _corporate_fare_ Google _place_ London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. 5 years of experience in stakeholder management, professional services or technical consulting. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field or equivalent practical experience. Experience launching and scaling user-facing, production quality partner integrations. Experience working with Machine Learning and Generative AI applications (e.g., deep learning, natural language processing, computer vision, pattern recognition), applied ML techniques, or using OSS frameworks. Ability to navigate ambiguity, scope and manage multiple projects simultaneously and solve technical problems separately. Excellent communication and presentation skills, with the ability to explain technical topics to both engineers and business stakeholders. About the job Within gUP, the Machine Learning (ML) Data Services team delivers scalable, high-quality data solutions that are foundational to numerous critical AI initiatives across Google. We partner closely with Google DeepMind and other Engineering teams to bring the best Generative AI Models (GenAI) to market. We seek entrepreneurial, detail-oriented individuals driven to launch Google's AI/ML products. As a Senior Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships. In this role, you will serve as the primary expert, responsible for designing and delivering top notch GenAI Core Models while actively driving product improvements as a key user advocate. You will possess an understanding of Large Language Models (LLMs) and Data Services and will collaborate directly with our Engineering teams to enhance our products and services. You will also be pioneering new methodologies for measuring the performance, quality, and safety of Generative AI models. In gTech Users and Products (gUP), our mission is to advocate for Google's users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more). Responsibilities Build high-value use cases and troubleshoot issues related to model performance and infrastructure, leveraging the latest Gemini Model capabilities. Contribute to the evolution of Gemini Models by shaping future capabilities and defining the roadmap for developer tools and cool models. Partner with Google DeepMind Engineering, Program Management and Product Operations (Ops) teams to prioritize and deliver solutions that measurably impact Generative AI model quality and performance across Google's product offerings. Explore, create, and assess novel methodologies for accurately measuring and evaluating the performance of Generative AI models. Stay current on industry trends, the latest machine learning research, tools, and advanced techniques. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy). Google is proud to be an equal opportunity and affirmative action employer. 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