* Place of work: Prague, Kyiv * Required work experience: 3-5 years * Type of employment: full time, remote
About FF Group FF Group is a leading technology provider with over 10 years of expertise in AI-driven edge and data solutions for urban road traffic and parking systems. Specialising in high-performance software for vendors and integrators, we are redefining smart city infrastructure.
Our flagship product, CAMMRA AI, is a cutting-edge vehicle and license plate recognition solution that offers unmatched accuracy and speed, powered by advanced Convolutional Neural Networks (CNNS). Integrated with our DataFactory Analytical Platform, CAMMRA AI provides real-time traffic analytics to help cities and authorities optimise traffic flow and improve safety. We proudly partner with top camera and chipset manufacturers worldwide, including Axis Communications, Hanwha Vision, Ambarella, NVIDIA, and leading software platform providers such as Milestone Systems.
FF Group headquarters are located in Prague, Czech Republic. Who are we looking for: We are seeking a talented and driven Machine Learning Engineer to join our team. In this role, you will develop innovative products utilizing machine learning and computer vision technologies, including license plate recognition, vehicle detection and classification, object detection and recognition, and color recognition.
You will be part of an international team, collaborating closely with colleagues across different countries. We are looking for a promising specialist who is eager to grow and excel in the fields of machine learning and deep learning for image processing.
If you are ready to take on new challenges and contribute to cutting-edge technology, don`t hesitate to contact our team. Key qualifications: * Specialized education in computer technologies, mathematics, or related fields. * At least 3-5 years of experience in commercial projects. * Advanced in quantization and pruning. * Continuous self-education in CNN and machine learning. * Strong desire to grow and develop professionally. * Responsibility, honesty, and teamwork skills. * Advanced proficiency in Python.
General responsibilities: * Train and evaluate machine learning models on large sets of images/videos for EDGE platforms (ARM+CNN chips). * Quantization and pruning. * Build end-to-end training, testing, and evaluation pipelines. * Manipulate high-volume multi-dimensional structured data from the images for further deep network training and testing. * Produce and optimize high-quality tested code for deployment on EDGE platforms (IP cameras, Nvidia platforms). * Develop, create proof-of-concept (POC), and demo of deep learning applications. * Create synthetic and semi-synthetic datasets (possibly using GAN) for training and testing. * Optimize neural network architectures for performance on EDGE platforms. * Collaborate with major hardware vendors, such as Ambarella, Bosch, AXIS, and Hanwha, to ensure optimal neural model performance on provided hardware.
Nice to have: * Experience with C++. * Experience in video analytics. * Experienced in SDK/libraries development.
What we offer: * Experience in highly innovative product development. * Work in one team with video analytics industry leaders on real-world projects. * Non-standard and creative tasks. * A dynamic, challenging, and creative environment for work and self-study. * Experience working with global leaders in the security industry. * Competitive salary. * Warm and friendly atmosphere.
Please send your salary expectations and resume, accompanied by links to a public repository. Key skills: Management, Deep learning, SQL, Image processing, REST API, Git.
