Роль четко определена с акцентом на передовые приложения GenAI, а Databricks - уважаемая продуктовая компания, но зарплата не указана, что может вызывать беспокойство.
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Сильная компанияПередовой фокусЯзыковое требованиеЗарплата не указана
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer - FDE (Forward Deployed Engineer) (GenAI): Develops and productionizes customer-facing GenAI applications with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production ML deployment. Focus on solving customer problems with advanced AI techniques, optimizing application evaluation and performance, advising customers, and shaping product priorities with engineering and product teams.
Location: Tokyo, Japan; travel to customers may be required once every 4–8 weeks.
Company
Databricks develops a unified Data and AI Platform used to build and scale data, AI applications, analytics, and agents.
What you will do
Develop cutting-edge GenAI solutions using techniques from Databricks AI research to solve customer problems.
Own production rollouts of consumer-facing and internal GenAI applications.
Advise customers as a trusted technical expert across different domains.
Present technical work at conferences and contribute to internal and external thought leadership.
Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
Build GenAI applications using RAG, multi-agent systems, Text2SQL, fine-tuning, and tools such as Hugging Face, LangChain, and DSPy.
Deploy, evaluate, and optimize production-grade GenAI applications.
Bring extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, and related tools.
Build production-grade machine learning deployments on AWS, Azure, or GCP.
Hold a graduate degree in a quantitative discipline or have equivalent practical experience.
Native-level Japanese and professional working English proficiency are required.
Nice to have
Experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed datasets.
Culture & Benefits
Comprehensive benefits and perks are offered, with details varying by region.
Work involves collaboration with customers, teammates, product, engineering, and developer relations.
The role supports continuous learning and driving business value through AI.
Databricks is committed to an inclusive culture and equal employment opportunity.
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