Anunciado 20 de julio
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Salario
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Estudios mínimos
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Nivel
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Número de vacantes
1
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Descripción del empleo
  • Multinational Company
  • Good Career Progression

Multinational company developing new services in the field of digital safety. Working with partners ans start-ups on digital trends and technologies like Cyber Security, Future Mobility, AI, Internet of things and Big Data.




  • Lead the development of Data Science and Machine Learning solutions

  • Be responsible for the technical implementation and delivery of AI software solutions

  • Proactively investigate available data sources and help shaping new use cases as well as evaluating their business potential

  • Team up with Big Data SW engineer to productionize developed solutions

  • Cooperate with data and IT specialist to design the future of the Data Platform

  • Be a mentor in Data Science topics for junior and non-expert colleagues


  • Flexible and dynamic working environment

  • Possibility of remote work

  • Flexible retribution with possibility of private health insurance, restaurant ticket, kindergarten and transportation, among others.

  • Budget for continuos learning and upskilling

  • Attactive relocation package, if applicable



Requisitos mínimos
  • University degree in Computer Science, Engineering or any other STEM field

  • 4+ years of strong experience and proven track record in Data Science an ML applied to real world projects

  • Demonstrable experience in Advanced Analytics, Computer Vision and/or NLP projects

  • Excellent command of SQL and Python, including libraries such as Scikitlearn, Pandas, Pytorch or TensorFlow.

  • Good SW development skills and basic knowledge of good SW development patterns

  • Good command of SW code repositories and CD/CI systems, such as GIT, Azure or Bitbucket.

  • Experience productionizing ML pipelines with technlogies such as MLFlow, Airflow, Docker and kubernetes.

  • Nice to have:Knowledge on processing data with Spark and basic command of the Hadoop ecosystem.

  • Highly proactive, strong entrepreneurial attitude and passion for data.

  • Ability to work independently with little supervision as well as a part of a team.

  • High abstraction and synthesis skills.

  • Open-minded, fluent in English language.

  • Nice to have:Spanish language skills.



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