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Your expertise will be utilized to build machine learning pipelines that is innovative and cutting edge technology which can become patented product.  We are using and enhancing the approaches published recently in ML conferences.



The Netherlands



What You’ll Do

  • Development and optimization of the  algorithm for the mental health platform

  • Focus on cutting-edge technologies and trends in the field, and responsible for the improvement of algorithms

  • Testing of algorithms and training of models

  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

  • Experience leading projects with industry-wide impact

Who You are

  • Having foundation of program development, familiar with Python, Java, spark, Flink and other distributed computing platforms.

  • Familiar with machine learning and deep learning algorithms, such as regression, tree model, ensemble learning, temporal data correlation algorithms ARIMA, LSTM, CNN, etc.

  • Familiar with machine learning related development frameworks, such as Numpy, Sklearn, Tensorflow, PyTorch, etc., experience in practical application and optimization of algorithm projects.

  • AiOps related experience is preferred.

  • MS degree in Computer Science or related quantitative field with experience in machine learning related work or research, or PhD degree in Computer Science or related quantitative field 

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