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Company Background Quercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. At Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production. Analyze model performance using real-world data, identify failure cases and propose improvements. Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows. Contribute to the integration of models into production pipelines. Monitor and operate machine learning models in production environments. Engineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning. Strong experience developing software in Python for machine learning and computer vision workflows. Solid understanding of software engineering fundamentals. Experience developing and running applications in Linux environments. Ability to work with existing code-bases and contribute to production-ready systems. Fluent Catalan and/or Spanish, with English at B2 level or higher. Experience with computer vision libraries such as OpenCV. Experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Familiarity with model deployment and inference pipelines. C++ knowledge and experience integrating ML models into production systems. Experience with parallel or high-performance computing. Familiarity with Git, Docker and VSCode. Work closely with experienced machine learning and computer vision engineers. Flexible working hours, including short Fridays. Partial remote work. Access to training and professional development programs. Office location in Reus.

Company Background Quercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. At Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production. Analyze model performance using real-world data, identify failure cases and propose improvements. Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows. Contribute to the integration of models into production pipelines. Monitor and operate machine learning models in production environments. Engineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning. Strong experience developing software in Python for machine learning and computer vision workflows. Solid understanding of software engineering fundamentals. Experience developing and running applications in Linux environments. Ability to work with existing code-bases and contribute to production-ready systems. Fluent Catalan and/or Spanish, with English at B2 level or higher. Experience with computer vision libraries such as OpenCV. Experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Familiarity with model deployment and inference pipelines. C++ knowledge and experience integrating ML models into production systems. Experience with parallel or high-performance computing. Familiarity with Git, Docker and VSCode. Work closely with experienced machine learning and computer vision engineers. Flexible working hours, including short Fridays. Partial remote work. Access to training and professional development programs. Office location in Reus.

Company Background Quercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. At Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production. Analyze model performance using real-world data, identify failure cases and propose improvements. Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows. Contribute to the integration of models into production pipelines. Monitor and operate machine learning models in production environments. Engineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning. Strong experience developing software in Python for machine learning and computer vision workflows. Solid understanding of software engineering fundamentals. Experience developing and running applications in Linux environments. Ability to work with existing code-bases and contribute to production-ready systems. Fluent Catalan and/or Spanish, with English at B2 level or higher. Experience with computer vision libraries such as OpenCV. Experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Familiarity with model deployment and inference pipelines. C++ knowledge and experience integrating ML models into production systems. Experience with parallel or high-performance computing. Familiarity with Git, Docker and VSCode. Work closely with experienced machine learning and computer vision engineers. Flexible working hours, including short Fridays. Partial remote work. Access to training and professional development programs. Office location in Reus.

Company Background Quercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. At Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. In this role, you will actively contribute to the implementation, optimization, and continuous improvement of deep learning models used in our products. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. Role Specs What will you do? Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production. Continuously improve existing computer vision and deep learning models through experimentation, evaluation, and iteration. Analyze model performance using real-world data, identify failure cases and propose improvements. Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows. Contribute to the integration of models into production pipelines. Monitor and operate machine learning models in production environments. Share insights and technical findings with the rest of the computer vision team. What profile are we looking for? Mandatory Engineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning. Strong experience developing software in Python for machine learning and computer vision workflows. Solid understanding of software engineering fundamentals. Practical experience working with machine learning models. Experience developing and running applications in Linux environments. Ability to work with existing code-bases and contribute to production-ready systems. Good communication and collaboration skills. Fluent Catalan and/or Spanish, with English at B2 level or higher. Valuable (Nice to have) Experience with computer vision libraries such as OpenCV. Experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Familiarity with model deployment and inference pipelines. C++ knowledge and experience integrating ML models into production systems. Experience with parallel or high-performance computing. Familiarity with Git, Docker and VSCode. Experience handling real-world datasets. What skills do we value? Curiosity and continuous learning mindset in computer vision and machine learning. Collaborative and team-oriented attitude. Strong analytical and problem-solving skills. Proactive attitude and sense of ownership. Clear and effective technical communication skills. What can we offer you? Work closely with experienced machine learning and computer vision engineers. Flexible working hours, including short Fridays. Partial remote work. Access to training and professional development programs. A salary package aligned with experience, including additional benefits. Office location in Reus.

Company Background Quercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. At Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production. Analyze model performance using real-world data, identify failure cases and propose improvements. Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows. Contribute to the integration of models into production pipelines. Monitor and operate machine learning models in production environments. Engineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning. Strong experience developing software in Python for machine learning and computer vision workflows. Solid understanding of software engineering fundamentals. Experience developing and running applications in Linux environments. Ability to work with existing code-bases and contribute to production-ready systems. Fluent Catalan and/or Spanish, with English at B2 level or higher. Experience with computer vision libraries such as OpenCV. Experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Familiarity with model deployment and inference pipelines. C++ knowledge and experience integrating ML models into production systems. Experience with parallel or high-performance computing. Familiarity with Git, Docker and VSCode. Work closely with experienced machine learning and computer vision engineers. Flexible working hours, including short Fridays. Partial remote work. Access to training and professional development programs. Office location in Reus.

Company Background Quercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. At Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. In this role, you will actively contribute to the implementation, optimization, and continuous improvement of deep learning models used in our products. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. Role Specs What will you do? • Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production., • Continuously improve existing computer vision and deep learning models through experimentation, evaluation, and iteration., • Analyze model performance using real-world data, identify failure cases and propose improvements., • Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows., • Contribute to the integration of models into production pipelines., • Monitor and operate machine learning models in production environments., • Share insights and technical findings with the rest of the computer vision team. What profile are we looking for? Mandatory • Engineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning., • Strong experience developing software in Python for machine learning and computer vision workflows., • Solid understanding of software engineering fundamentals., • Practical experience working with machine learning models., • Experience developing and running applications in Linux environments., • Ability to work with existing code-bases and contribute to production-ready systems., • Good communication and collaboration skills., • Fluent Catalan and/or Spanish, with English at B2 level or higher. Valuable (Nice to have) • Experience with computer vision libraries such as OpenCV., • Experience with deep learning frameworks (PyTorch, TensorFlow, Keras)., • Familiarity with model deployment and inference pipelines., • C++ knowledge and experience integrating ML models into production systems., • Experience with parallel or high-performance computing., • Familiarity with Git, Docker and VSCode., • Experience handling real-world datasets. What skills do we value? • Curiosity and continuous learning mindset in computer vision and machine learning., • Collaborative and team-oriented attitude., • Strong analytical and problem-solving skills., • Proactive attitude and sense of ownership., • Clear and effective technical communication skills. What can we offer you? • Work closely with experienced machine learning and computer vision engineers., • Flexible working hours, including short Fridays., • Partial remote work., • Access to training and professional development programs., • A salary package aligned with experience, including additional benefits., • Office location in Reus.

Overview Das AID-Projekt entwickelt eine Lösung für die systematische Erfassung und Analyse von Betriebskennzahlen, um den stabilen und SLA-konformen Betrieb eines TV-Dienstes zu gewährleisten. Diese Rolle umfasst die Arbeit an der Migration einer bestehenden Architektur zu einer Google Cloud Platform (GCP)-Infrastruktur, in der der gesamte TV-Dienst mit allen seinen Anwendungen zukünftig betrieben wird. Die neue Monitoring-Lösung wird sowohl GCP-native Dienste als auch erweiterte Optionen (Extended Support) nutzen und eine zuverlässige Grundlage für das Service-Level-Monitoring für externe Kunden bieten. Responsibilities Design und Implementierung einer GCP-basierten Monitoring-Lösung für Service-Gesundheit, Performance und Verfügbarkeit Sicherstellung von SLA-konformem Monitoring, Alerting und Reporting für kundenorientierte TV-Dienste Auswahl und Integration von GCP-Diensten (Cloud Monitoring, Logging, GKE, Pub/Sub) Entwicklung der Monitoring-Integration für migrierte TV-Dienst-Operationen Design der AID-Integration in Converged T-CaaS-Umgebungen und Zusammenarbeit mit Core-Teams Koordination und Informationsaustausch mit dem Core-Team Converged T-CaaS Integration des AID in den Friendly User Trial Erstellung von Dokumentation, Förderung des Know-how-Transfers und Unterstützung bei der Inbetriebnahme Unterstützung von Kunden bei Onboarding- und Lifecycle-Themen Profil / Qualifikationen Umfangreiche DevOps-Erfahrung mit Google Cloud Platform (GCP) Diensten einschließlich Monitoring, Logging und Google Kubernetes Engine (GKE) Umfangreiche DevOps-Erfahrung mit T-CaaS Cloud (Monitoring, Logging) Expertise in Observability, Telemetrie-Pipelines und SLA-orientiertem Monitoring Erfahrung mit Kubernetes Erfahrung mit CI/CD-Prozessen Erfahrung mit GitOps unter Verwendung von Helm Charts und Flux Automatisierungsfähigkeiten Ausgeprägte Kommunikationsfähigkeiten Dokumentationsfähigkeiten Englischkenntnisse auf B2-Niveau Über uns Bei T-Systems findest du bahnbrechende Projekte, die zum sozialen und ökologischen Wohlbefinden beitragen. Wir möchten neue Talente wie dich willkommen heißen, die frische Ideen und unterschiedliche Perspektiven einbringen, Herausforderungen annehmen und sich dem kontinuierlichen Lernen verschreiben, um zu wachsen und einen Einfluss auf die Gesellschaft zu nehmen... und das alles auf eine unterhaltsame Weise! Es spielt keine Rolle, wann oder wo du arbeitest. Es geht darum, bedeutungsvolle Arbeit zu leisten, die die Gesellschaft voranbringt. Aus diesem Grund werden wir alles Mögliche tun, um sicherzustellen, dass du alle Entwicklungsmöglichkeiten hast, indem wir dir ein Unterstützungsnetzwerk, exzellente Technologie, ein neues Arbeitsumfeld und die Freiheit zum autonomen Arbeiten bieten. Wir unterstützen dich dabei, sowohl persönlich als auch beruflich zu wachsen, damit du einen bemerkenswerten Einfluss auf die Gesellschaft nehmen kannst. T-Systems ist ein Team von rund 28.000 Mitarbeitern weltweit, was uns zu einem der führenden globalen Anbieter von End-to-End-Integrationslösungen macht. Wir entwickeln Hybrid-Cloud-Lösungen, künstliche Intelligenz und treiben die digitale Transformation von Unternehmen, Branchen, dem öffentlichen Sektor und letztendlich der gesamten Gesellschaft voran. Bewerbungsinformationen Wenn du eine neue Herausforderung suchst, zögere nicht, uns deinen Lebenslauf zu schicken. Werde Teil unseres Teams! T-Systems Iberia verarbeitet nur Lebensläufe von Kandidaten, die die angegebenen Anforderungen für die jeweilige Position erfüllen. #J-18808-Ljbffr

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This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks. We are looking for a Chief Product Officer to lead our Core products. Leadership of Product Organization: manage Product Directors, P&L Owners, Mobile/Core P

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