Machine Learning Engineer (EXUS AI Labs)


EXUS is recruiting a Machine Learning Engineer (EXUS AI
Labs), to be based in Athens, Greece.

Company Profile
  • Founded in 1989 and with the vision to simplify risk management software, EXUS launched its Financial Suite (EFS) in 2016 with the aim to support financial entities worldwide to improve their results.
    With headquarters in London and R&D centre in Athens, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 26 countries worldwide. We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.
Job Description
  • You will join a multidisciplinary team of Engineers, Data Scientists and innovation management Experts that excel in driving innovation in software engineering.
  • Technical Project Management (effort allocation, task plan, projects' progress overview, participation in calls & meetings).
  • Projects' Design & Implementation, applying Machine Learning algorithms and techniques.
  • Providing solutions to any technical related issues during a project’s lifecycle.
  • Overall, 40% of your daily time will be dedicated in Project Management and participating in calls with Partners, and 60% in software development.
  • BSc in Computer Science, Mathematics or similar field. MSc will be highly appreciated.
  • Deep knowledge of math, probability, statistics and algorithms.
  • Experience and competence in software engineering are required.
  • Good understanding of data structures, data modeling and software architecture.
  • Ability to write robust code in Python or R (preferably in Python).
  • At least one year of relevant working or academic experience (even as a part of academic research or PhD studies).
  • Previous working experience in Research / H2020 Projects, will be highly appreciated.
  • Ability to travel (up to 10% of total working time, in European destinations).
  • Competitive and attractive remuneration package.
  • Private Health Insurance.
  • Friendly, pleasant and creative working environment.
  • Work - Life Balance.
  • Modern facilities and recreational areas.
  • In House restaurant with low cost daily lunch.
  • Constant opportunities to learn New Technologies.
  • Indicate the source of the job position in your application:
This vacancy is no longer accepting applications


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