Machine Learning Engineer

Job Details

The role

We’re looking for a Machine Learning Engineer to bring their expertise to some great projects, learn in a friendly, collaborative environment, and innovate with us.

What are you going to do : 

  • Design and implement end-to-end data pipelines.This design implies to work with advanced ETL techniques and data architectures according to the project and the customer needs

  • It is expected that the Machine Learning engineer has enough knowledge/experience regarding the implementation of models for both traditional and advanced ML and DL architectures.

  • You will be part of an agile team of amazing developers. and even better people!

  • Quality is a must for us.

  • Continuous integration, test, and delivery are part of our DNA


Would be very cool if you have:

  • Capacity to design end-to-end data pipelines.

  • Advanced ETL techniques.

  • Data Architectures designed for exploiting using Machine Learning techniques.

  • Mid Modeling skills for ML and DL models.

  • DL framework basic: Pytorch.

  • Programming Languages: Python and Go.

  • High control of the different steps regarding the ML experiments to execute.

  • Be able to choose between the different language options depending on the task.

  • Be analytical on performance and difficulty of getting results.

A Plus if you:

  • Know Docker and/or Kubernetes.

  • Comfortable with TDD/ATDD.

  • Comfortable with fully automated CI/CD environments.

  • Are able to communicate in English

  • Other programming languages: Javascript, Angular, Node,js, Java

  • Desire to learn & constant curiosity.

  • Ability to adapt to different environments and projects.

Why Intelygenz?

  • Flexible working hours for a real work-life balance
  • 100% freedom to work from anywhere you’d like - from your home, our office, or even from a tropical island!
  • Specific career plans for horizontal and vertical growth. Let your motivations do the talking!
  • Mentoring to help you grow in your career
  • Teamwork and feedback culture
  • English and Spanish language classes with up to 60% of costs covered by us
  • Plenty of happy hours, retreats and events with us (post-Covid)
  • One hour per week to take part in continuous tech training programs with your co-workers
  • Access to physical and mental wellness initiatives
  • 50% health insurance coverage
  • Flexible retribution for transport, kindergarten, and restaurant meals
  • A free Intelygenz t-shirt every anniversary
Location:Madrid, Spain
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