25 Jobs für Ard in Deutschland

Die ARD Tech Unit treibt die digitale Transformation und technologische Innovation innerhalb der ARD voran. Das Geschäftsfeld GAP (Gesamtarchitektur, Anforderungs- und Prozessmanagement) gestaltet dabei zentrale digitale Strategien.

DAS IVZ

Wir sind der interne IT-Dienstleister der ARD, d. h. aller ARD-Rundfunkanstalten, Deutschlandradio und DW unter der Federführung des rbb und erbringen an den Standorten in den Landesrundfunkanstalten und bei Deutschlandradio zentrale IT-Dienstleistungen.

Als Arbeitsort wird Potsdam oder Köln bevorzugt, ein anderer Arbeitsort an einem unserer IVZ-Standorte in Leipzig, München, Hamburg oder Frankfurt bei einer der Landesrundfunkanstalten ist jedoch auch möglich.

bit.ly/3NGPzQQ

Job Description

Die ARD Tech Unit treibt die digitale Transformation und technologische Innovation innerhalb der ARD voran. Das Geschäftsfeld GAP (Gesamtarchitektur, Anforderungs- und Prozessmanagement) gestaltet dabei zentrale digitale Strategien.

DAS IVZ

Wir sind der interne IT-Dienstleister der ARD, d. h. aller ARD-Rundfunkanstalten, Deutschlandradio und DW unter der Federführung des rbb und erbringen an den Standorten in den Landesrundfunkanstalten und bei Deutschlandradio zentrale IT-Dienstleistungen.

Als Arbeitsort wird Potsdam oder Köln bevorzugt, ein anderer Arbeitsort an einem unserer IVZ-Standorte in Leipzig, München, Hamburg oder Frankfurt bei einer der Landesrundfunkanstalten ist jedoch auch möglich.

• Anforderungsmanagement: Analyse, Validierung und Dokumentation von Anforderungen in enger Abstimmung mit Stakeholdern, Erstellung und Pflege von Anforderungsdokumenten und Abhängigkeitsplänen.
• Koordination und Reporting: Vorbereitung von Anforderungen für Priorisierungsprozesse und Ressourcensitzungen. Unterstützung bei Status- und Fortschrittberichten sowie Kommunikation mit beteiligten Gewerken.

Erfolgreich abgeschlossenes Studium der BWL oder Wirtschaftsinformatik oder vergleichbarer Fachrichtung und Erfahrung im Anforderungsmanagement oder in der Business Analyse sowie

• Fähigkeit zur Analyse und Verfeinerung von Anforderungen sowie zur Erstellung klarer und präziser Dokumentationen
• gute Kenntnisse in Anforderungsmethoden, -tools und agilen Vorgehensweisen (Zertifizierungen wie Scrum von Vorteil)
• sehr gute Kommunikationsfähigkeiten sowie eine schnelle Auffassungsgabe für komplexe Sachverhalte

Work-Life-Balance: Wir fördern die Vereinbarkeit von Beruf und Familie u. a. mit flexiblen Teilzeitmodellen. Mobiles Arbeiten ist bei uns tarifvertraglich geregelt und kann je nach Bedarf und Anforderung in Absprache erfolgen.

Faire Konditionen: Wir bieten ein tariflich geregeltes Gehalt. Sofern Sie über die erforderliche Ausbildung und Berufserfahrung verfügen, erfolgt Ihre Vergütung nach Gruppe D unserer Gehaltstabelle. Darüber hinaus gibt es Urlaubsgeld, Familienzuschlag, betriebliche Altersversorgung, 31 Tage Urlaub und einen Zuschuss zum ÖPNV-Firmenticket.

Weiterentwicklungsm öglichkeiten: Wir bieten interne und externe Fortbildungen z. B. über die ARD-ZDF-Medienakademie an. Zudem bauen wir unser E-Learning-Angebot kontinuierlich aus.

Gesundheitsförderung: Zur Stärkung der Gesundheit organisieren wir Aktionstage, Workshops, Pausen-Kurse sowie Kooperationen mit Fitness-Anbietern. Zusätzlich gibt es die rbb-Sportgemeinschaft mit diversen Sportgruppen.

Die ARD Tech Unit treibt die digitale Transformation und technologische Innovation innerhalb der ARD voran. Das Geschäftsfeld GAP (Gesamtarchitektur, Anforderungs- und Prozessmanagement) gestaltet dabei zentrale digitale Strategien.

DAS IVZ

Wir sind der interne IT-Dienstleister der ARD, d. h. aller ARD-Rundfunkanstalten, Deutschlandradio und DW unter der Federführung des rbb und erbringen an den Standorten in den Landesrundfunkanstalten und bei Deutschlandradio zentrale IT-Dienstleistungen.

Als Arbeitsort wird Potsdam oder Köln bevorzugt, ein anderer Arbeitsort an einem unserer IVZ-Standorte in Leipzig, München, Hamburg oder Frankfurt bei einer der Landesrundfunkanstalten ist jedoch auch möglich.

bit.ly/3NGPzQQ

Die ARD Tech Unit treibt die digitale Transformation und technologische Innovation innerhalb der ARD voran. Das Geschäftsfeld GAP (Gesamtarchitektur, Anforderungs- und Prozessmanagement) gestaltet dabei zentrale digitale Strategien.

DAS IVZ

Wir sind der interne IT-Dienstleister der ARD, d. h. aller ARD-Rundfunkanstalten, Deutschlandradio und DW unter der Federführung des rbb und erbringen an den Standorten in den Landesrundfunkanstalten und bei Deutschlandradio zentrale IT-Dienstleistungen.

Als Arbeitsort wird Potsdam oder Köln bevorzugt, ein anderer Arbeitsort an einem unserer IVZ-Standorte in Leipzig, München, Hamburg oder Frankfurt bei einer der Landesrundfunkanstalten ist jedoch auch möglich.

bit.ly/3NGPzQQ

Job Description

Die ARD Tech Unit treibt die digitale Transformation und technologische Innovation innerhalb der ARD voran. Das Geschäftsfeld GAP (Gesamtarchitektur, Anforderungs- und Prozessmanagement) gestaltet dabei zentrale digitale Strategien.

DAS IVZ

Wir sind der interne IT-Dienstleister der ARD, d. h. aller ARD-Rundfunkanstalten, Deutschlandradio und DW unter der Federführung des rbb und erbringen an den Standorten in den Landesrundfunkanstalten und bei Deutschlandradio zentrale IT-Dienstleistungen.

Als Arbeitsort wird Potsdam oder Köln bevorzugt, ein anderer Arbeitsort an einem unserer IVZ-Standorte in Leipzig, München, Hamburg oder Frankfurt bei einer der Landesrundfunkanstalten ist jedoch auch möglich.

• Organisation und Administration: Unterstützung im Anforderungsmanagement inkl. Erfassung, Dokumentation, Nachbereitung von Sitzungen, Terminabstimmungen und Onboarding.
• Wissens- und Kommunikationsmanagement: Pflege und Strukturierung von Plattformen (Confluence, SharePoint, Verteilerlisten) sowie Erstellung und Verwaltung teamrelevanter Unterlagen und Report.
• Informationsprozesse und Teamunterstützung: Sicherstellung konsistenter Informations- und Kommunikationsprozesse inkl. Protokollführung, Sprachregelung, Templating und Vertretung innerhalb des Assistenzteams des Geschäftsfeld.

Abgeschlossene kaufmännische Ausbildung oder vergleichbare Qualifikation mit Berufserfahrung in Administration, idealerweise im Projektmanagement, IT oder in der Projektkoordination mit Wissens- bzw. Kommunikationsmanagement sowie:

• ausgeprägte organisatorische Fähigkeiten, strukturierte und detailorientierte Arbeitsweise, kommunikativ mit Blick für sprachliche und visuelle Qualität
• sicherer Umgang mit MS Office, Confluence, SharePoint und gängigen Projekttools; OKR-Kenntnisse und agiles Mindset von Vorteil

Work-Life-Balance: Wir fördern die Vereinbarkeit von Beruf und Familie u. a. mit flexiblen Teilzeitmodellen. Mobiles Arbeiten ist bei uns tarifvertraglich geregelt und kann je nach Bedarf und Anforderung in Absprache erfolgen.

Faire Konditionen: Wir bieten ein tariflich geregeltes Gehalt. Sofern Sie über die erforderliche Ausbildung und Berufserfahrung verfügen, erfolgt Ihre Vergütung nach Gruppe E unserer Gehaltstabelle. Darüber hinaus gibt es Urlaubsgeld, Familienzuschlag, betriebliche Altersversorgung, 31 Tage Urlaub und einen Zuschuss zum ÖPNV-Firmenticket.

Weiterentwicklungsm öglichkeiten: Wir bieten interne und externe Fortbildungen z. B. über die ARD-ZDF-Medienakademie an. Zudem bauen wir unser E-Learning-Angebot kontinuierlich aus.

Gesundheitsförderung: Zur Stärkung der Gesundheit organisieren wir Aktionstage, Workshops, Pausen-Kurse sowie Kooperationen mit Fitness-Anbietern. Zusätzlich gibt es die rbb-Sportgemeinschaft mit diversen Sportgruppen.

Location: This is a hybrid position based out of Bucharest, Romania , requiring 3 days a week in the office.

The Deployment Engineer is a full-time, highly technical, and hands-on role dedicated to rapidly deploying the platform for our customers. This position is instrumental in accelerating the time to value by collaborating closely with the Customer Success team to plan, deploy, and operationalize the platform.

You will ensure the implementation and configuration of all aspects of the platform, including reporting, dashboards, policies, and overall system setup, to deliver maximum product value. Additionally, the role involves providing expert support, in-depth analysis, and research to tackle complex issues related to deploying sophisticated cybersecurity infrastructures. You will be expected to maintain a high level of proficiency with our products and solutions within customer networks.

Tasks

Deployment and Execution:

• Expedite the platform's deployment process, ensuring timely delivery and high customer satisfaction.
• Collaborate with the Customer Success team to create and execute deployment plans tailored to each client's unique needs.
• Plan and execute the onsite and/or remote deployment of collectors at various client locations.
• Conduct site surveys and assessments to determine the best placement and setup for collection devices.

Configuration and Integration:

• Ensure customer deployments and configurations align with business use cases as defined by the Success team and drive platform adoption and implementation plans.
• Conduct system assessments and compatibility checks to ensure successful integration with existing client infrastructures.
• Work in collaboration with the Success team to refine and translate complex requirements and execute best practice solutions.

Support and Documentation:

• Provide expert support, in-depth analysis, and research to address complex issues related to deploying sophisticated cybersecurity infrastructures.
• Provide on-site and remote technical support during deployment, addressing any issues that arise promptly and effectively.
• Develop and maintain comprehensive deployment documentation, including configuration guides, troubleshooting manuals, and user guides.
• Train clients' technical staff on the operation and maintenance of integrated systems.

Collaboration:

• Interact across Success/Sales teams and development teams at the peer level as part of the customer onboarding process.
• Maintain a high level of technical proficiency and hands-on expertise with the products and solutions deployed within the customer’s network.

Requirements

Experience:

• 3+ years of experience as a full-time Deployment Engineer highly preferred, or as a Professional Services Engineer, Consultant, or IT/Operations Engineering.
• 5+ years of experience in a combination of the following: designing, deploying, configuring, supporting, troubleshooting, debugging, and coordinating Unified Communications products, devices, solutions, and technologies for small, medium, large, and/or enterprise businesses.
• 3+ years of experience working in Security/IT/Healthcare/ICT/Commercial sectors.
• Experience analyzing, using, and configuring medium to enterprise networks.

Technical Skills:

• Familiarity/Experience in Cyber Security (i.e., Endpoint, SOAR, SIEM).
• Linux Operating System basic operation and troubleshooting (i.e., Redhat Linux / CentOS).
• Networking (LAN/WAN, Routing/Switching protocols, Network Security).
• B.S in IT, IS, CS, MIS, (or equivalent degree) and/or relevant industry qualifications (CISSP, Security +, CEH) desired.

Soft Skills:

• Excellent communication and interpersonal skills , with the ability to work effectively with clients and cross-functional teams.
• Strong analytical and problem-solving skills , with attention to detail.
• Ability to work independently and manage multiple deployment projects simultaneously.
• Ability to work effectively in an interrupt-driven environment and provide mentorship to other members of the work group.

Travel:

• Willingness to travel to client sites as needed (up to 60% ).

**_Role location : Amsterdam!_**
**_If you are not in the Netherlands we hope you are willing to relocate!_**
As a ** ** **Senior AI** **deployment enginee** **r** , you will work along with a team of AI scientists, AI and xR application engineers, software engineers and clinical experts to design, develop, and deploy computer vision, augmented reality, mixed reality, multi-modal AI models and GenAI features into existing and new medical device products. This is a unique, high visibility opportunity for talented individual who wants to dive deep into cutting-edge AI and GenAI optimization for cloud and edge deployments.
**_What you will do :_**
+ Develop and deployArtificial Intelligence (AI) powered software on cloud and edge devices (iPhone, iPad, Vision Pro, Android devices, NVidia devices).
+ Optimize AI/ML models and pipelines for real-time inference on edge devices.
+ Build containerized AI services (e.g. Docker) and orchestrate deployments.
+ Deploy and maintain real-time microservices for AI applications including GenAI apps.
+ Work with MLOpsand AI security platform team to support continuous integration, testing, and monitoring of AI models
+ Design deployment evaluation frameworks, develop unit tests for software components in compliance with regulatory requirements
+ Generate and review the necessary documents with project teams.
+ Perform Software verification and/or validation testing
+ Perform code reviews as an independent reviewer followingbest coding standards and practices.
**_Who you are:_**
+ __ __ __ __ Bachelor's degree in software engineering/ Computer Science or related discipline with2+ years of relevant work experience OR Master's in relevant disciplines OR PhD degree in relevant disciplines.
+ At least 4+ years of Python and C++ development experience.
+ 3+ years of experience developing and deploying AI/ML models into production environments.
+ Proficiency in containerization tools (Docker, Docker Compose).
+ Experience with CI/CD Git automation pipelines.
+ Strong Cloud deployment experience (Azure, GCP or AWS) .
+ Proven ability to optimize AI models for real-time inference on edge devicesto meet latency and performance requirements.
+ Knowledge of model optimization techniques (ONNX Runtime, quantization, pruning, TensorRT, OpenVINO, CoreML etc.).
+ Experience with voice, LLMs and Generative AI (LLMs, vision, multimodal, multiagent) microservices experience.
+ Experience with multi-agentic AI frameworks for orchestrating complex workflows.
+ Experience with Kubernetes for orchestrating AI microservices.
+ Familiarity with monitoring and logging (Prometheus, Grafana, Azure Monitor, etc.).
+ Experience with medical devices and product development standards in a regulated environment(ISO 13485, IEC 62304, ISO 14971).
**_Role impact:_**
As a valued member of Stryker's AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, machine learning and generative AI and digital innovation to the operating room and other healthcare settings.
You'll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker's solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency - plus many more.
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.

**_Role location : Amsterdam!_**
**_If you are not in the Netherlands we hope you are willing to relocate!_**
As a ** ** **Senior AI** **deployment enginee** **r** , you will work along with a team of AI scientists, AI and xR application engineers, software engineers and clinical experts to design, develop, and deploy computer vision, augmented reality, mixed reality, multi-modal AI models and GenAI features into existing and new medical device products. This is a unique, high visibility opportunity for talented individual who wants to dive deep into cutting-edge AI and GenAI optimization for cloud and edge deployments.
**_What you will do :_**
+ Develop and deployArtificial Intelligence (AI) powered software on cloud and edge devices (iPhone, iPad, Vision Pro, Android devices, NVidia devices).
+ Optimize AI/ML models and pipelines for real-time inference on edge devices.
+ Build containerized AI services (e.g. Docker) and orchestrate deployments.
+ Deploy and maintain real-time microservices for AI applications including GenAI apps.
+ Work with MLOpsand AI security platform team to support continuous integration, testing, and monitoring of AI models
+ Design deployment evaluation frameworks, develop unit tests for software components in compliance with regulatory requirements
+ Generate and review the necessary documents with project teams.
+ Perform Software verification and/or validation testing
+ Perform code reviews as an independent reviewer followingbest coding standards and practices.
**_Who you are:_**
+ __ __ __ __ Bachelor's degree in software engineering/ Computer Science or related discipline with2+ years of relevant work experience OR Master's in relevant disciplines OR PhD degree in relevant disciplines.
+ At least 4+ years of Python and C++ development experience.
+ 3+ years of experience developing and deploying AI/ML models into production environments.
+ Proficiency in containerization tools (Docker, Docker Compose).
+ Experience with CI/CD Git automation pipelines.
+ Strong Cloud deployment experience (Azure, GCP or AWS) .
+ Proven ability to optimize AI models for real-time inference on edge devicesto meet latency and performance requirements.
+ Knowledge of model optimization techniques (ONNX Runtime, quantization, pruning, TensorRT, OpenVINO, CoreML etc.).
+ Experience with voice, LLMs and Generative AI (LLMs, vision, multimodal, multiagent) microservices experience.
+ Experience with multi-agentic AI frameworks for orchestrating complex workflows.
+ Experience with Kubernetes for orchestrating AI microservices.
+ Familiarity with monitoring and logging (Prometheus, Grafana, Azure Monitor, etc.).
+ Experience with medical devices and product development standards in a regulated environment(ISO 13485, IEC 62304, ISO 14971).
**_Role impact:_**
As a valued member of Stryker's AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, machine learning and generative AI and digital innovation to the operating room and other healthcare settings.
You'll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker's solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency - plus many more.
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.

**_Role location : Amsterdam!_**
**_If you are not in the Netherlands we hope you are willing to relocate!_**
As a **u202f**
**Senior AI**
**deployment enginee**
**r** , you will work along with a team of AI scientists, AI and xR application engineers, software engineers and clinical experts to design, develop, and deploy computer vision, augmented reality, mixed reality, multi-modal AI models and GenAI features into existing and new medical device products. This is a unique, high visibility opportunity for talented individual who wants to dive deep into cutting-edge AI and GenAI optimization for cloud and edge deployments.
**_What you will do :_**
Develop and deployArtificial Intelligence (AI) powered software on cloud and edge devices (iPhone, iPad, Vision Pro, Android devices, NVidia devices).
Optimize AI/ML models and pipelines for real-time inference on edge devices.
Build containerized AI services (e.g. Docker) and orchestrate deployments.
Deploy and maintain real-time microservices for AI applications including GenAI apps.
Work with MLOpsand AI security platform team to support continuous integration, testing, and monitoring of AI models
Design deployment evaluation frameworks, develop unit tests for software components in compliance with regulatory requirements
Generate and review the necessary documents with project teams.
Perform Software verification and/or validation testing
Perform code reviews as an independent reviewer followingbest coding standards and practices.
**_Who you are:_**
_u200b_
_u200b_
_u200b_
_u200b_ Bachelor's degree in software engineering/ Computer Science or related discipline with2+ years of relevant work experience OR Masteru2019s in relevant disciplines OR PhD degree in relevant disciplines.
At least 4+ years of Python and C++ development experience.
3+ years of experience developing and deploying AI/ML models into production environments.
Proficiency in containerization tools (Docker, Docker Compose).
Experience with CI/CD Git automation pipelines.
u200bu200bu200bStrong Cloud deployment experience (Azure, GCP or AWS) .
u200bProven ability to optimize AI models for real-time inference on edge devicesto meet latency and performance requirements.
u200bKnowledge of model optimization techniques (ONNX Runtime, quantization, pruning, TensorRT, OpenVINO, CoreML etc.).
u200bExperience with voice, LLMs and Generative AI (LLMs, vision, multimodal, multiagent) microservices experience.
u200bExperience with multi-agentic AI frameworks for orchestrating complex workflows.
u200bExperience with Kubernetes for orchestrating AI microservices.
u200bFamiliarity with monitoring and logging (Prometheus, Grafana, Azure Monitor, etc.).
u200bExperience with medical devices and product development standards in a regulated environment(ISO 13485, IEC 62304, ISO 14971).u200bu200bu200bu200b
**_Role impact:_**
As a valued member of Strykeru2019s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, machine learning and generative AI and digital innovation to the operating room and other healthcare settings.
Youu2019ll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Strykeru2019s solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency u2013 plus many more.
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer u2013 M/F/Veteran/Disability.