AI Engineer Mid in Vestigit

Join our team as an AI Engineer and work with us on an innovative project that will change the way we secure video content on the Internet.

Our platform, Vestigium, enables content providers, OTT platform owners and TV stations to mark broadcasts with an invisible watermark that is generated individually for each subscriber. Thanks to this, when we detect illegally shared material on a suspicious website, we can quickly verify whether it is our client's property and identify the person responsible for the copyright infringement. 

Additionally, as Vestigit, we are part of the Illiad Group, whose mission is to develop innovative projects in the field of multimedia and cybersecurity, using the latest achievements in the field of AI. Watermarking is our main project, but if you want to be part of more innovative ventures, do not hesitate and apply.

As an AI Engineer, you will work on developing a system for tagging video content using an invisible watermark generated by our platform. Your contribution to the development of advanced algorithms and machine learning models will allow us to reduce the area where marking is applied. Due to the adaptive nature of the place where the marker is applied, it will be much more difficult to detect it with the naked eye. In this way, we will ensure the high quality of the protected materials, minimizing the negative impact on their reception.

When carrying out your task, it is necessary to:

• Have at least 3 years of experience in the field of image processing or computer vision, using machine learning methods.
• Experience in implementing own neural network models.
• Familiarization with GAN (Generative Adversarial Networks), WGAN (Wasserstein GAN) and other generative techniques.
• Demonstrated very good knowledge of Python, including libraries such as OpenCV, NumPy and scikit-learn.
• Understand the theory behind computer vision, such as color spaces, compression, and entropy.

Would be nice (and helpful for you):

• Knowledge of generative models for images.
• Knowledge of JPEG, MJPEG, MPEG standards.
• Knowledge supported by experience in video analysis and processing.
• Knowledge of frequency transformations and the pywavelets library.
• Experience in designing and analyzing own models and undertaking research activities.
• Knowledge of watermarking or steganography techniques.

Even if you do not meet all the requirements, we encourage you to send your CV. We believe in the development and potential of every candidate, which is why we want to give you a chance to join our team!

Join our team if you are passionate about artificial intelligence, ready for challenges and looking for a dynamic work environment. We are an innovative team that is constantly looking for the best solutions and new opportunities in the area of ​​image processing and computer vision. If masswith strong programming skills, creativity in creating advanced machine learning models and the ability to work in a team, we are looking for you! Send us your CV and join us in writing your name in the future of video security.

Join our team as an AI Engineer and work with us on an innovative project that will change the way we secure video content on the Internet.

Our platform, Vestigium, enables content providers, OTT platform owners and TV stations to mark broadcasts with an invisible watermark that is generated individually for each subscriber. Thanks to this, when we detect illegally shared material on a suspicious website, we can quickly verify whether it is our client's property and identify the person responsible for the copyright infringement. 

Additionally, as Vestigit, we are part of the Illiad Group, whose mission is to develop innovative projects in the field of multimedia and cybersecurity, using the latest achievements in the field of AI. Watermarking is our main project, but if you want to be part of more innovative ventures, do not hesitate and apply.

As an AI Engineer, you will work on developing a system for tagging video content using an invisible watermark generated by our platform. Your contribution to the development of advanced algorithms and machine learning models will allow us to reduce the area where marking is applied. Due to the adaptive nature of the place where the marker is applied, it will be much more difficult to detect it with the naked eye. In this way, we will ensure the high quality of the protected materials, minimizing the negative impact on their reception.

When carrying out your task, it is necessary to:

• Have at least 3 years of experience in the field of image processing or computer vision, using machine learning methods.
• Experience in implementing own neural network models.
• Familiarization with GAN (Generative Adversarial Networks), WGAN (Wasserstein GAN) and other generative techniques.
• Demonstrated very good knowledge of Python, including libraries such as OpenCV, NumPy and scikit-learn.
• Understand the theory behind computer vision, such as color spaces, compression, and entropy.

Would be nice (and helpful for you):

• Knowledge of generative models for images.
• Knowledge of JPEG, MJPEG, MPEG standards.
• Knowledge supported by experience in video analysis and processing.
• Knowledge of frequency transformations and the pywavelets library.
• Experience in designing and analyzing own models and undertaking research activities.
• Knowledge of watermarking or steganography techniques.

Even if you do not meet all the requirements, we encourage you to send your CV. We believe in the development and potential of each candidate, that's why we want to give you a chance to join our team!

Join our team,if you are passionate about artificial intelligence, ready for challenges and looking for a dynamic work environment. We are an innovative team that is constantly looking for the best solutions and new opportunities in the area of ​​image processing and computer vision. If you have strong programming skills, creativity in creating advanced machine learning models, and the ability to work in a team, we are looking for you! Send us your CV and join us in writing your name in the future of video security.

,[Development of a video content marking system, Working with machine learning algorithms and models, Design, implementation and optimization of advanced neural network models., Using image processing methods and computer vision to develop watermarking technology and related projects, Conducting research on new generative methods (e.g. GAN, WGAN), Analysis and design of own video processing models and undertaking research activities to improve them., Writing and maintaining code in Python, using libraries such as OpenCV, NumPy and scikit-learn., Integration and testing of developed models and algorithms, Working in a multidisciplinary team towards a common goal of developing innovative technologies in the area of ​​cyber security and related ones, Optimization and adaptation of developed solutions, Participation in training and conferences to continuously improve qualifications in the area of ​​image processing and artificial intelligence., Staying up to date with the latest trends and technologies in the field of Computer Vision and Machine Learning., Identifying and resolving technical issues related to the watermarking system.] Вимоги: AI, AWS, Machine learning, Python, scikit-learn, opencv, NumPy Бонуси та reviews: Private healthcare, Lunch card, Small teams, Sport subscription, Free coffee, Bike parking, Shower, Free parking, Startup atmosphere, No dress code.