Junior Machine Learning Engineer (C++, CNN, Data Science) (offline)
Place of work: Kyiv, Prague
Required work experience: for 1 year
Type of employment: full-time in an office or remote/part-time /project-based
Who we are:
Our company is a Software Vendor, we develop our own algorithms for video analytics on IP cameras/servers and meta-data processing software and further sell them to our partner network.
About FF Group
FF Group is a software vendor that offers out-of-box intelligent security AI solutions on the EDGE (on-camera processor) for the transportation market globally. Over 17 years of expertise allows FF Group to design powerful and sophisticated traffic control technologies in simple and affordable products based on our own breakthrough AI technologies.
FF Group has developed solutions based on the vehicle plate, make, model, color recognition, intelligent data processing technologies, ”camera-to-camera” communication technologies.
The road traffic data processing platform FF Data Factory ushers in an era of simplicity and convenience in working with huge data flows in the transport sector in real time.
Our partners are the world's top camera and chipset manufacturers such as Ambarella, Axis Communications, Hanwha, Techwin, MOBOTIX, Merit Lilin, Uniview Technologies, SAST, Bosch, Vivotek etc. More details here.
FF Group headquarters is located in Prague (CZ). Sales and technology partners operate in more than 30 countries.
Who we are looking for:
We are searching for a fearless and talented personality to occupy the Machine Learning engineer position who will be engaged in developing new products based on machine learning and computer vision technologies: license plate recognition, vehicle detection, and classification Object detection and recognition, color recognition ...
The person should be able to take the challenges and become a part of the deployed international team and will work closely with colleagues in different countries.
We are looking for a beginner and talented specialist who wants to develop and work in the machine and deep learning field of image processing
What is important:
• Special education (computer technologies, mathematical ets).
• Experience in commercial projects up 1 year.
• Continuous self-education in CNN and machine learning.
• Great desire to grow and develop.
• Responsibility, honesty, and teamwork.
• Advanced level of C++, Python.
General obligations:
1. Train and evaluate the developed machine-learning model on a large set of images/videos for EDGE platforms (ARM+CNN chips).
2. Build end-to-end training, testing, and evaluation pipelines.
3. Manipulate high-volume multi-dimensional structured data from the images for further deep network training and testing.
4. Produce and optimize high-quality tested code that can be transferred to the Edge platforms (IP cameras).
5. Coding, proof-of-concept (POC), and demo of deep learning applications.
6. Creating synthetic and semi-synthetic datasets (possibly using GAN) for training and testing.
7. Changing the architecture of neural networks for optimized performance on the Edge platforms.
8. Collaboration with big hardware vendors such as Ambarella, Bosch, AXIS, Hanwha, etc., targeting launch, optimization, and correct operation of neural models on the provided hardware.
What we offer:
• Experience in highly innovative product development.
• Work in one team with LPR industry leaders on real-world projects.
• Non-standard and creative tasks.
• Dynamic, challenging, and creative environment for work and self-study.
• Experience working with global security industry leaders.
• Competitive salary.
• Warm and friendly atmosphere.
• Business trips are possible to our partner's offices - South Korea, Sweden, and the USA
See you at FF Group!
Required work experience: for 1 year
Type of employment: full-time in an office or remote/part-time /project-based
Who we are:
Our company is a Software Vendor, we develop our own algorithms for video analytics on IP cameras/servers and meta-data processing software and further sell them to our partner network.
About FF Group
FF Group is a software vendor that offers out-of-box intelligent security AI solutions on the EDGE (on-camera processor) for the transportation market globally. Over 17 years of expertise allows FF Group to design powerful and sophisticated traffic control technologies in simple and affordable products based on our own breakthrough AI technologies.
FF Group has developed solutions based on the vehicle plate, make, model, color recognition, intelligent data processing technologies, ”camera-to-camera” communication technologies.
The road traffic data processing platform FF Data Factory ushers in an era of simplicity and convenience in working with huge data flows in the transport sector in real time.
Our partners are the world's top camera and chipset manufacturers such as Ambarella, Axis Communications, Hanwha, Techwin, MOBOTIX, Merit Lilin, Uniview Technologies, SAST, Bosch, Vivotek etc. More details here.
FF Group headquarters is located in Prague (CZ). Sales and technology partners operate in more than 30 countries.
Who we are looking for:
We are searching for a fearless and talented personality to occupy the Machine Learning engineer position who will be engaged in developing new products based on machine learning and computer vision technologies: license plate recognition, vehicle detection, and classification Object detection and recognition, color recognition ...
The person should be able to take the challenges and become a part of the deployed international team and will work closely with colleagues in different countries.
We are looking for a beginner and talented specialist who wants to develop and work in the machine and deep learning field of image processing
What is important:
• Special education (computer technologies, mathematical ets).
• Experience in commercial projects up 1 year.
• Continuous self-education in CNN and machine learning.
• Great desire to grow and develop.
• Responsibility, honesty, and teamwork.
• Advanced level of C++, Python.
General obligations:
1. Train and evaluate the developed machine-learning model on a large set of images/videos for EDGE platforms (ARM+CNN chips).
2. Build end-to-end training, testing, and evaluation pipelines.
3. Manipulate high-volume multi-dimensional structured data from the images for further deep network training and testing.
4. Produce and optimize high-quality tested code that can be transferred to the Edge platforms (IP cameras).
5. Coding, proof-of-concept (POC), and demo of deep learning applications.
6. Creating synthetic and semi-synthetic datasets (possibly using GAN) for training and testing.
7. Changing the architecture of neural networks for optimized performance on the Edge platforms.
8. Collaboration with big hardware vendors such as Ambarella, Bosch, AXIS, Hanwha, etc., targeting launch, optimization, and correct operation of neural models on the provided hardware.
What we offer:
• Experience in highly innovative product development.
• Work in one team with LPR industry leaders on real-world projects.
• Non-standard and creative tasks.
• Dynamic, challenging, and creative environment for work and self-study.
• Experience working with global security industry leaders.
• Competitive salary.
• Warm and friendly atmosphere.
• Business trips are possible to our partner's offices - South Korea, Sweden, and the USA
See you at FF Group!
About FF Group
FF Group is an innovative data provider with 10 years of experience creating Edge and data solutions for road traffic and parking vendors and integrators.Our key product FF DataFactory (AI Road Traffic Data Intelligence Platform) is successfully implemented by partners in strong and significant projects worldwide. It provides comprehensive insights to help cities, transportation companies, and integrators of road traffic monitoring systems make data-driven, cost and time-effective informed decisions..
FF Group headquarters is located in Prague (CZ). Sales and technology partners operate in more than 30 countries.
Company website:
https://ff-group.org/
DOU company page:
https://jobs.dou.ua/companies/ff-group/
The job ad is no longer active
Job unpublished on
28 December 2022
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