Data Scientist

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 unit
3. Main processing unit: Running inference application and special UI

Sent data to the cloud for training

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

Requirements:

• Degree in a relevant field, with a priority for Computer Science.
• 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 concepts.
• A quick and enthusiastic learner with a curiosity for diverse fields.

Advantages:

• Experience in DevOps and cloud computing.
• Proficiency with AWS, NoSQL databases, and MLOps practices.
• Familiarity with technologies such as Docker, Kubernetes, and auto-scaling solutions.
• Knowledge of tools like MongoDB, Snowflake, SageMaker, and Kafka.
• Knowledge of Mechanic engineering.