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AI Big Data Engineer

EPAM·Salary not specified

Primary stack

Apache KafkaPythonAI

Nice to have's

business process documentationAI data consumption

Job description

About the Position

We're looking for an AI Big Data Engineer to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will support the development of a chatbot that enables applications to interact with a global Big Data platform, improving onboarding and usability. You will work on integrating AI-driven features, creating structured documentation, and ensuring that business and technical context is captured to optimize data platform adoption and scalability.

Responsibilities

  • Design and develop chatbot functionalities for interaction with the Big Data platform
  • Analyze and document data models in Dataiku and create templates for AI integration
  • Define structures for documenting technical and business flows to support AI consumption
  • Incorporate business context into platform documentation for improved knowledge accessibility
  • Collaborate with platform and engineering teams to ensure smooth onboarding processes
  • Apply generative AI techniques to enhance platform usability and automation

Requirements

  • Proven experience with Big Data platforms and architectures
  • Hands-on experience in chatbot development and AI application design
  • Strong skills in data modeling and documentation practices
  • Proficiency in Apache Kafka and data streaming ecosystems
  • Experience working with Dataiku Data Science Studio
  • Knowledge of generative AI application development
  • Advanced programming experience in Python

Nice to Have

  • Familiarity with business process documentation methods
  • Understanding of AI data consumption and related best practices

About the Company

[Company description if present]

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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.

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