Machine Learning Engineer

A successful startup in the field of data integrity, this company has developed a system that identifies anomalies in sensor data. The emphasis is on sensors measuring physical parameters such as voltage, current, pressure, rotation speed, temperature, and more. Their system builds models representing the normal behavior of sensors based on historical data through AI.

The company collaborate with energy companies, water utilities, power stations, factories, and any other place with physical sensors. Having secured significant funding in Round A, they boast a stable and paying customer base.

The role involves working as part of a team and includes tasks related to machine learning, time-series analysis, statistics, Python coding using Pandas and NumPy, and engagement in anomaly detection tasks, among others.

Based in Tel Aviv, they operate on a hybrid model with one day working from home. The team comprises 27 employees, with 11 based in Israel.

Requirements:

• 4 years of experience developing algorithms
• B.Sc. or higher in Mathematics / Computer Science / Statistics or a
• relevant field
• Strong Data Structures & Algorithms basis
• Experience in Python
• Python Numerical or Machine Learning Libraries
• Strong background in statistics / time-series analysis - Advantage
• Team Player, Self-Learner, Delivery Oriented