Назад
1 день назад

Solutions Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Solutions Engineer (AI): Building customer prototypes, demos, reference architectures, and reusable assets on the Databricks Data Intelligence Platform with an accent on big data analytics, customer-facing solution design, and hands-on development. Focus on writing code with Python, Java, or Scala, using SQL and AI-assisted development tools, and translating real-world data challenges into working solutions.

Location: In-office role based in Sao Paulo, Brazil.

Company

Databricks is a data and AI company providing a unified platform for data science, analytics, data applications, and AI applications.

What you will do

  • Build successful customer relationships and provide technical and business value in collaboration with Account Executives.
  • Advise customers on architecture, design, implementation, and adoption of the Databricks platform.
  • Build working prototypes, demos, and reusable assets by writing code and using AI-assisted development tools.
  • Author reference architectures, how-tos, and demo applications.
  • Lead workshops, seminars, and meet-ups to support the Databricks community in the region.
  • Develop toward technical and/or industry specialization.

Requirements

  • 1+ years of technical experience in a customer-facing role.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience.
  • Hands-on prototyping and learning-by-doing mindset, with comfort using AI-assisted development tools.
  • Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
  • Ability to interact with customers confidently and professionally.
  • Ability to meet technical training and role-specific outcome expectations within 6 months of hire.
  • Must be based in Sao Paulo, Brazil and work in the office.

Nice to have

  • Experience with big data technologies such as Spark, Hadoop, or Kafka and related architectures.

Culture & Benefits

  • Customer-first, proactive, collaborative, and inclusive culture.
  • Emphasis on creativity, experimentation, continuous improvement, and learning-by-doing.
  • Comprehensive employee benefits and perks, with details varying by region.
  • Equal employment opportunity and inclusive hiring practices.

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