Position Mission The candidate will learn to design and implement a scalable, distributed infrastructure to manage large volumes of video data and process it in real time using artificial intelligence algorithms.
Furthermore, you will gain experience in the management of video surveillance systems and IT security to ensure the correct functioning of the system and data protection.
Programming ability in languages ??such as Python, Java, and C++ and familiarity with artificial intelligence platforms such as TensorFlow or PyTorch are necessary characteristics to be able to carry out the tasks.
The ability to collaborate with other team members, such as software engineers, data analysts and security experts, will ensure the effective integration of AI solutions into existing infrastructure.
During the activities, the principles of cloud architectures and containerization technologies such as Docker and Kubernetes will be explored in depth to support the implementation of a flexible and scalable infrastructure.
The candidate for this position must possess a combination of skills in software engineering, artificial intelligence, cybersecurity, and distributed architecture, in order to develop and maintain the AI-powered video surveillance system AiDA with distributed processing capabilities.
Responsibilities - Analyzing the functional and performance requirements of application problems, to identify the most appropriate algorithms to be implemented - Designing the most effective and efficient algorithms and data structures for solving application problems, with particular focus on AI technologies - Analyzing the completeness and quality of the input data for the algorithms to be developed - Contributing to the choice of the technology stack, programming patterns and frameworks to be adopted - Developing the software starting from writing the source code until field tests - Drawing up the necessary documentation - Estimating the time required for algorithm design and software development - Testing the developed software to highlight any bugs - Monitoring the quality and functionality of the software applications over time.
Technical Skills, Qualifications and Professional Experience Master's degree in STEM subjects, preferably Computer or Automation Engineering Programming experience in C/C++ and/or Python Knowledge of the principles underlying cloud architectures and containerization technologies (docker, kubernetes).
Excellent knowledge of Italian and English It is considered a plus - Knowledge of Artificial Intelligence/Machine/Deep Learning technologies, with particular focus on Computer Vision issues (TensorFlow framework, PyTorch, Keras...) Sosteniamo la parità di genere e promuoviamo un ambiente equo ed inclusivo.
Accogliamo candidature da qualsiasi persona indipendentemente dal background di provenienza, riconoscendo il valore della diversità nel nostro contesto lavorativo.
Il nostro processo di selezione si basa sul principio base di favorire l'uguaglianza professionale promuovendo principi di non discriminazione basati sul genere, età, etnia, nazionalità, disabilità, religione, orientamento sessuale, stato civile ed appartenenza o meno a organizzazioni sindacali o politiche Settore: Industria metalmeccanica Ruolo: Ingegneria/Progettazione