Capgemini
AI Engineering Manager
- Hybrydowo
Opole, Polska
Opis oferty
Warszawa, Polska
Miejsce pracy: Warszawa
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
In this role, you will be leading a team in developing GenAI based development tools that are propelling developers productivity like never experienced before. You will develop server code as well as Middleware code which implement functionalities that interact with Google latest LLMs.
You will be delivering machine learning technologies to Cloud customers. You will be working closely with top researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging machine learning solutions that will contribute directly to Google's product excellence. You will develop features that integrate the next generation large language model with balanced trade-off between performance and deployment constraints.
You will be working on improving performance for applications in information retrieval/search/recommendations, understanding of conversations, dialogue summarization, content moderation.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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