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Data Engineer Deep Learning


Crisalix is growing and we are now looking for a Data Engineer to join our Deep Learning team in Barcelona.   

As part of the Deep Learning team, you will be responsible for preparing, processing and transforming data for productizing and operationalizing Machine Learning algorithms. You will  support working cross-functional teams, taking full accountability for the projects and bringing new ideas to optimize performances and techniques.

Key Responsibilities:   

  • Build processes supporting data transformation, data structure, dependencies, and workload management
  • Create and maintain optimal data pipeline architecture
  • Retrieve a wide variety of datasets and integrate them into the data pipeline architecture
  • Work on the prototyping and development of data extract, transform clean and integrate structured and non-structured data
  • Analyze complex distributed data deployments and make recommendations to optimize performance

Education & Experience:

  • Bachelor's degree in Computer Science, Information Technology or Computer Engineering

  • 3+ years of experience working on data related areas, such as machine learning and computer vision

  • 5+ years hands-on experience working in software development with object-oriented languages

  • Strong scripting ability in Python language for production environments

  • Good understanding of algorithms, data structure, and performance optimization techniques

Desirable Technical Skills:

  • Understanding of core Machine Learning, Computer Vision and/or 3D geometry concepts.

  • Knowledge of C++

  • Familiar with AWS

Personal Skills:  

  • Able to work as a part of the team and autonomously

  • Flexible, able to adjust quickly to changing conditions and demands in a dynamic environment

  • Curious, proactive and able to approach problems in a creative manner

  • Keen at learning and applying new technologies


  • Fluent in English both spoken and written

What we offer:

  • A successful career in a fast growing and dynamic company with an innovative and disruptive technology

  • The possibility to learn everyday by working as part of an international team of talented and friendly professionals

  • A competitive salary package

  • Work-life balance with flexible working hours and  telecommuting options

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