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Machine Learning Specialist

Machine Learning specialist (In-house)

Location: Amsterdam or The Hague, The Netherlands

Are you enthusiastic about Data? How about areas in Machine Learning?

For one of our elite clients in the Amsterdam area we are looking for a Mid-level or Senior Data Machine Learning Specialist to join their growing team. Their Product leverages innovative artificial and Machine learning technologies to process and manage unstructured information.

Profile

For this position; you are responsible for (In a nutshell) working on expanding and implementing a ML engine based in areas as; NLP and Computer Vision. You will be collaborating with a cross team of; DevOps Engineers, ML Specialists, Product Owners, Software Architect etc. Allowing you to gain knowledge and provide the best product for our clients. Work with clients to do interesting and valuable insights!

  • Design and develop machine learning
  • Review code and ideas to brainstorm on solutions for data challenges.
  • Research on new ML technologies, papers, frameworks, practical applications.

Requirements

We are looking for someone whose profile in experience embodies:

  • Innovative attitude
  • Self-disciplined and organized
  • Experience in Java programming with a good knowledge of Python
  • At least 2 years' experience in the field of machine learning such areas as NLP, Deep Learning, Computer Vision.
  • Bonus: Experience with product development and Enterprise Content Management (ECM).
  • Bachelor's degree in computer science or software engineering or data science.

Offer

  • Excellent bonus structure
  • 26 Holidays;
  • Flexible working hours;
  • Plenty of room to grow (Launch new initiatives! If you want?)
  • A study budget for personal development
  • Other competitive secondary benefits

Are you looking for a new challenge as a Mid-Level/Senior Machine Learning Specialist or do you know someone who fits the profile?

Any More Questions?

Then you can contact Genevieve Barnard at Genevieve.barnard@darwinrecruitment.com or call: +31(0)20 305 8558

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