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If you are looking for a young, dynamic and professional team who uses latest technologies to develop software for challenging engineering problems, Arute Solutions is the right company to work for.

Arute Solutions is a technology company specialized in Machine Learning, Operations Research and Software Development. Our team consists of Data Scientists, OR Engineers and Software developers who are experts in newest technologies and trends. Our team has successfully completed many projects in local and international markets all across the globe.

You can apply for the positions below


  • Apply machine learning and statistics expertise to solve analytical problems mainly in finance and e-commerce analytics.
  • Work closely with a software development team to convert analytic results into software products.
  • Use machine learning expertise to conceptualize new solutions for financial or other problems.
  • Communicate and document progress and results to the customers and produce analytical reports.


  • BS or preferable MS degree in Computer Science, Computational Science, Data Science or general Engineering or related disciplines from a reputable university.
  • Solid theoretical understanding of machine learning concepts and algorithms.
  • Practical experience with supervised and unsupervised machine learning algorithms (e.g. random forest, multilayer perceptron, SVM, k-means clustering, PCA).
  • Experience with Python 3 and its scientific computation and visualisation packages (e.g. numpy, pandas, scikit-learn, matplotlib).
  • Skills in data preprocessing, cleaning and data visualisation.
  • Proficiency (theoretical know-how) in probability and statistics.
  • Good working experience with SQL is necessary to extract and work with data residing in RDMSes.
  • Fluency in written/spoken presentation of analytical results in English.

Nice to Haves

  • Experience with deep learning libraries is a plus (e.g. TensorFlow, PyTorch).
  • Experience with an additional, OOP language is a plus (e.g. C#, C++).
  • Experience with distributed big-data computing frameworks is a plus (e.g. Hadoop, Spark, Kafka).
  • Experience with financial data and solutions experience is a plus.
  • Experience with Time-Series Forecasting is a big plus.