Machine Learning Engineer

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About your role: 

Our products and systems are built on data analytics and machine learning algorithms that are defined, trained and applied to solve different problems for different industries. Playing around with data, writing code and experimenting with different algorithms to improve performance and accuracy while closely working with our developers to deliver an integrated platform/service is the basis for our activities. If you are a highly motivated and talented ML Engineer with the ability to understand and model complex problems, provide quick and high-quality solutions, stand to work under pressure and also take initiatives and the lead in certain tasks, then you are the best fit for our team!


What will keep you busy:

  • Application of different machine learning, deep learning algorithms and / or data science techniques to solve a variety of problems across different domains.
  • Training and evaluation of ML/DL models prior to making them production-ready.
  • Explanation of ML/DL results through different techniques and best practices to derive valuable insights.
  • Collaboration with our data scientists and data engineers to develop data and model pipelines, solve scalability and performance issues at an operating environment that constantly evolves and grows.
  • Solving cutting-edge problems (e.g. scaling of ML/DL models, handling real-time data streams).
  • Participation to the Data Science and Engineering cycles (Design, Development, Evaluation, Production, Maintenance) in the scope of RTD Projects.
  • Contribution to the tasks of In-Depth Data Analysis, Specifications, Design (Requirements, Functional & Technical Specifications) and development of Innovative Analytics Solutions.
  • Collaboration with external teams (clients, partners) comprising Software Engineers as well as other Data Scientists, ML Engineers and Domain Experts in the frame of Business and R&D activities of the company.

Company name



Contact E-mail

Contact Phone

+357 2535 5585





Additional qualifications

What it's nice to have: M.Sc./Ph.D. in Machine Learning, Data Science Experience in Explainable Artificial Intelligence techniques Basic back-end development skills (e.g. in Flask web framework) Good knowledge of query engines for big data (e.g. Elasticsearch, Presto) and visualization tools (e.g. Kibana, Grafana) Knowledge and experience (modelling and architecture) of relational databases (e.g. PostgreSQL, Hive) and of non-relational databases (e.g. MongoDB) Past collaborations within R&D engineering teams What's in it for you: A very attractive compensation package Flexible daily schedule Work in an international, dynamic and fun environment, at a growing company Opportunity to work with a highly talented and experienced team in state-of-the-art international projects Opportunities to work with prestigious international companies and R&D organizations and to attend meetings, international conferences and trainings across Europe Access to resources for professional and personal development

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