Investigating, prototyping and productizing solutions based on the computer vision technologies, deep machine learning models
Find the optimal balance between setting and maintaining a research direction, and day-to-day delivery of robust technologies
Determine implementation and optimization of algorithms
Develop new and implement existing computer vision technologies for the logistic area
Optimize code to perform in the Cloud. Edge Computing is a plus.
Deploy models into our Cloud production environment that will be used by in a real-time setting
Develop embedded computer vision solutions: android / iOs, microcomputers – e.g. nvidia jestson nano
Develop ML pipelines for continuous machine learning (MLOps)
Develop microservices and serverless functions based on computer vision technologies
Develop mobile applications

What You Should Bring

Must-have

Experience taking a computer vision-based project from the initial concept to production
Experience or strong familiarity with deep learning frameworks such as Tensorflow, Pytorch, Keras, Yolo etc.
Experience training and serving computer vision models – object detection or segmentation, OCR, etc
Solid knowledge of OpenCV
Experience developing software and algorithms for computer vision, machine learning or computer graphics applications
Deep understanding of machine learning fundamentals
Experience with open source computer vision and linear algebra frameworks
Strong instincts for efficiency and optimization
3-4 years coding experience in one of these languages: Python, C++, Java, Kotlin
Highly competent in data science techniques and software libraries
Experience with dockerisation of computer vision components

Nice-to-have

Experience in Cloud based AI/ML platforms such as AWS Sagemaker, Azure ML, Google AI products
Knowledge of Kotlin (Java)
Understanding of microservice patterns
Knowledge of Kafka and experience with scalable recognition pipelines

What You Will Get Benefits