Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Forward Deployed Engineer (GenAI): Developing and productionizing first-of-its-kind GenAI applications for customers with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production-grade deployment. Focus on owning customer rollouts, evaluating and optimizing AI systems, advising technical stakeholders, and shaping product priorities with engineering and product teams.
Location: London, United Kingdom
Company
Databricks provides a unified Data + AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Develop cutting-edge GenAI solutions using the latest AI research techniques to solve customer problems.
- Own production rollouts of consumer-facing and internally facing GenAI applications.
- Act as a trusted technical advisor to customers across multiple domains.
- Present at conferences and build thought leadership internally and externally.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- Experience building GenAI applications with RAG, multi-agent systems, Text2SQL, fine-tuning, HuggingFace, LangChain, or DSPy.
- Expertise in deploying, evaluating, and optimizing production-grade GenAI applications.
- Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, and related tools.
- Experience deploying production-grade machine learning solutions on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline or equivalent practical experience.
- Ability to communicate or teach technical concepts to technical and non-technical audiences; willingness to travel to customers once every 4–8 weeks as needed.
Nice to have
- Experience with the Databricks Intelligence Platform and Apache Spark for processing large-scale distributed datasets.
Culture & Benefits
- Collaborative AI team working cross-functionally with engineering, product, developer relations, and subject matter experts.
- Opportunities for continuous learning and work on the latest GenAI, LLMOps, and machine learning trends.
- Comprehensive employee benefits and region-specific perks.
- Commitment to diversity, inclusion, and equal employment opportunity.
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