Job description

Overview:

Join our forward-thinking data team to create advanced data tools for GenAI applications. We use data to help our customers and support our own new products and research. As a Data Engineer, you will play a crucial role in building and optimizing data infrastructure, ensuring our solutions are robust, scalable, and ready for the challenges of tomorrow.

Your responsibilities:

  • Design and implement scalable processes to handle large-scale data (terabytes of text) for storage, versioning, and documentation.
  • Architect, develop, and maintain web services that allow for efficient consumption of harvested data.
  • Collaborate with researchers and software engineers to enhance data collection methodologies.
  • Prepare datasets for various Machine Learning use cases, including Generative AI.
  • Build and automate preprocessing pipelines tailored to different applications
  • Provide reliable data services that enable other teams to build new products on top of our data infrastructure.

Your profile:

  • You have 3+ years of experience working as a Data Engineer.
  • You are fluent in Python and at least one other programming language.
  • You possess a strong understanding of distributed systems and how to leverage them for efficient data pipelines.
  • You have a solid software engineering background with a focus on writing clean and pragmatic code.
  • You excel in data wrangling, including extracting, transforming, cleaning, and standardizing data from multiple sources.
  • You are knowledgeable about Generative AI use cases and the critical role of data in developing new solutions.

Nice if you have:

  • Experience working in multicloud environments (e.g., GCP, Azure, AWS) and on-premise setups.
  • Experience with Machine Learning and/or Data Science.
  • Experience in Golang is a plus

What you can expect from us:

  • Become part of an AI revolution
  • 30 Days of paid vacation
  • Flexible working hours
  • Join a dynamic start-up and a rapidly growing team
  • Work with international industry and science experts
  • Take on responsibility and shape our company and technology
  • Regular team events

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