Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Forward Deployed Engineer (GenAI): Developing and productionizing customer-facing GenAI applications with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production deployment. Focus on deploying and evaluating machine learning applications, advising customers on AI solutions, and shaping product priorities through cross-functional collaboration.
Location: Remote applicants must be based in Germany; preferred locations are Munich, Berlin, and Frankfurt. Travel to customers may be required once every 4–8 weeks.
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Develop GenAI solutions using the latest AI research techniques 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
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning.
- Experience with tools such as HuggingFace, LangChain, and DSPy.
- Expertise in production-grade GenAI deployment, evaluation, and optimization.
- Hands-on industry data science experience with pandas, scikit-learn, PyTorch, and related tools.
- Experience deploying production-grade machine learning systems on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline or equivalent practical experience, plus the ability to communicate technical concepts to technical and non-technical audiences.
Nice to have
- Experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed datasets.
Culture & Benefits
- Cross-functional collaboration with engineering, product, developer relations, and subject matter expert teams.
- Opportunities to work with customers on first-of-its-kind AI applications.
- Benefits and perks are provided according to the employee's region.
- Inclusive hiring practices and a focus on a diverse working environment.
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