Position: Lean-AI / Python Developer
Company: SD Solutions
Experience required: 5y
English level: upper

***Responsibilities:***

Work alongside SW and Algorithm Developers to create the next generation of imaging analysis software.
Take part in planning, designing and building LEAN.AI on-premise solutions, using state-of-the-art technologies.
Dive into new and exciting technologies and programming languages.

***Requirements:***

B.Sc. in Computer Science/Software Engineering/EE/other relevant field or equivalent work experience.
Strong Python experience.
Strong C / C++ experience.
Working knowledge of Linux, Git, Docker.
Working knowledge of CUDA and OpenCV.
Experience in designing, developing and optimizing computer vision applications.
Eager to learn and work with new programming languages and new technologies.
Team player.
Self-motivated, able to drive tasks end-to-end without external assistance.
Autodidact-able to independently learn and implement new technologies.

***Advantages:***

Working knowledge of SQL/NoSQL databases, Redis/RabbitMQ/Kafka.
Experience in integrating with 3rd party hardware (camera, controllers, etc.) using their SDKs.
Experience in designing, developing and monitoring high throughput stream systems.
Working knowledge of PyTorch or another deep learning framework.
M.Sc. in Computer Science/Software Engineering/EE/other relevant field or equivalent work.

***About the company:***

Johnson Electric Group (JE) and Cortica Group have embarked on a joint venture to build an Autonomous Inspection System that is revolutionizing the Quality Inspection Market. Leveraging Cortica Group’s Autonomous AI Technology and JE’s vast knowledge and experience in manufacturing processes, the partnership is solving an unsolved problem of today.

Lean.Al aims to revolutionize and refine the ways in which quality control is achieved. Our vision is to enable ideal quality in complex manufacturing processes through unsupervised self-learning Al technology, providing accurate detection and predictive process control.