develops products starting from the requirements stage, through design, integration, testing and up-to-date production delivery.

Our team includes the following development groups:

AI, SW embedded, SW high level, electronics, QA, mechanics and OPS.

We are developing a new product for the industrial 4.0 in several areas

By Using AES unique system we make the industrial world smarter.

Our main product including the following components

1. :End point device with sensors and micro controller
2. .sampling sensor data and after an edge processing the data is sent to our main processing uni
3. tMain processing unit: Running inference application and special U

I
Sent data to the cloud for trainin

1. g Cloud database: save data and Meta da
2. taOffline AI process provides features like wear estimation, chatter and other features to improve industry efficiency and protect industrial machine

s.
Requiremen

• ts:Degree in a relevant field, with a priority for Computer Scien
• ce.Strong understanding of best practices in data storage, processing, and retrieval
• . –Proficient in one or more programming languages (Python, C\C++ Java, C#, Scala, Go, etc
• .).Familiarity with statistical modeling techniques and machine learning concep
• ts.A quick and enthusiastic learner with a curiosity for diverse fiel

ds.
Advanta

• ges:Experience in DevOps and cloud comput
• ing.Proficiency with AWS, NoSQL databases, and MLOps practi
• ces.Familiarity with technologies such as Docker, Kubernetes, and auto-scaling soluti
• ons.Knowledge of tools like MongoDB, Snowflake, SageMaker, and Ka
• fka.Knowledge of Mechanic engineer