- BSc degree in Mathematics/ EE /CS/ Information Systems or related field;
- Outstanding Practical experience with at least one of the domains: Machine Learning, Signal Processing, Neural Networks and statistical predictive modeling;
- Relevant engineering background with OOP (Java/Python/..), coding capabilities;
- Hands on experience with analysis of large data sets under Big Data and distributed computing infrastructures in Hadoop ecosystem;
- Proficient in Matlab or R or other statistical software package;
- Team player, communicative, highly motivated, innovation-oriented, can-do attitude.
Desired Skills (Not essential but beneficial to have):
- Successful research track record, focused on time series analysis, anomaly detection and failure prediction;
- M.Sc. /Phd with relevant thesis;
- Satisfying knowledge in different machine learning domains;
- Ability to perform under pressure and changing priorities.