Zum nächstmöglichen Zeitpunkt suchen wirAbgeschlossene Ausbildung oder Studium im Bereich Informatik, Wirtschaftsinformatik, Computer Engineering, IT‑Security, Elektrotechnik oder einem vergleichbaren technischen Studiengang – alternativ relevante Berufserfahrung im DevOps-/System-EngineeringFundierte Kenntnisse in der Administration von Windows‑ und Linux‑Systemen inklusive Update‑Management, Monitoring, Backup‑Konzepten und dem Betrieb stabiler IT‑InfrastrukturenErfahrung im Aufbau und der Optimierung von CI/CD‑Pipelines sowie im Umgang mit Build-, Deployment- und Automatisierungswerkzeugen (z.
Schwarz Digits sucht in eine/n Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) (ID-Nummer: 13689687)
Schwarz Digits sucht in eine/n Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) (ID-Nummer: 13645353)
Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
Your Responsibilities Act as the main contact for all AutoCAD-related topics within the internal team Communicate continuously with development teams to identify new requirements and features Design, introduce, and integrate new functions into the engineering design tool architecture Develop and implement new modules and features, including testing and documentation Support development and configuration in the AutoCAD environment Provide technical support and guidance to users regarding application functionality Your Qualifications Degree in mechanical engineering, computer science, mathematics, electrical engineering, physics, or a comparable field Several years of professional experience as an AutoCAD Application Specialist or Developer Extensive experience working in agile development teams Very good knowledge of Autodesk products, especially AutoCAD and related products Experience in developing CAD interfaces (e.g.
Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Du bist verantwortlich für die Konzeption, Weiterentwicklung und Optimierung der Microsoft Azure Cloud-Architektur und stellst sicher, dass sie den aktuellen und zukünftigen Geschäftsanforderungen entspricht Du entwickelst ganzheitliche Cloud- und Hybrid-Architekturen und berätst interne Stakeholder bei der Auswahl und Integration von Technologien Du übersetzt komplexe geschäftliche Anforderungen in skalierbare, sichere und performante Cloud-Lösungen Du definierst und implementierst Governance-, Sicherheits- und Compliance-Frameworks für die Azure-Umgebung Du entwirfst Lösungen für Datenmanagement, Identitäts- und Zugriffssteuerung, Netzwerkarchitektur sowie Business Continuity und Disaster Recovery Du arbeitest eng mit IT-Sicherheit, Netzwerk- und Datenarchitekten, DevOps-Teams sowie externen Dienstleistern zusammen, um eine integrierte und zukunftsfähige Cloud-Landschaft zu schaffen Du führst Architektur-Reviews durch und stellst sicher, dass Best Practices und Standards eingehalten werden Du unterstützt bei der Auswahl und Einführung neuer Cloud-Dienste und -Technologien und bewertest deren Auswirkungen auf die bestehende Infrastruktur Du begleitest Projekte von der Planung bis zur Umsetzung und stellst die technische Qualität und Konsistenz sicher Du bringst dich aktiv in die Weiterentwicklung von IT-Serviceprozessen und Automatisierungslösungen ein Du stellst Anwendersupport im Hard- und Softwareumfeld (Business-Applikationen und M365 Komponenten) sicher Du hast ein erfolgreich abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation Du hast fundierte Erfahrung in der Konzeption und Umsetzung von Azure-Cloud-Architekturen in komplexen Unternehmensumgebungen Du bist vertraut mit Azure-Diensten wie Compute, Storage, Networking, Security, Governance und Monitoring und kannst diese strategisch einsetzen Du verfügst über fundierte Kenntnisse in allgemeinen IT-Vorgängen, einschließlich Netzwerk, Virtualisierung, Identität, Geschäftskontinuität, Governance, Datenplattformen sowie idealerweise in den Bereichen Sicherheit und Notfallwiederherstellung Du hast Erfahrung in der Gestaltung, Implementierung und Administration von Microsoft Cloud/Azure-Infrastrukturen, Architekturen und Ressourcen Du besitzt Scripting-Fähigkeiten, vorzugsweise in PowerShell, und bist sicher im Umgang mit Intune und Entra Du hast Erfahrung im Umgang mit Microsoft 365 und SharePoint und kennst dich im ITSM-Bereich aus (z.
Du bist verantwortlich für die Konzeption, Weiterentwicklung und Optimierung der Microsoft Azure Cloud-Architektur und stellst sicher, dass sie den aktuellen und zukünftigen Geschäftsanforderungen entsprichtDu entwickelst ganzheitliche Cloud- und Hybrid-Architekturen und berätst interne Stakeholder bei der Auswahl und Integration von Technologien Du übersetzt komplexe geschäftliche Anforderungen in skalierbare, sichere und performante Cloud-Lösungen Du definierst und implementierst Governance-, Sicherheits- und Compliance-Frameworks für die Azure-Umgebung Du entwirfst Lösungen für Datenmanagement, Identitäts- und Zugriffssteuerung, Netzwerkarchitektur sowie Business Continuity und Disaster Recovery Du arbeitest eng mit IT-Sicherheit, Netzwerk- und Datenarchitekten, DevOps-Teams sowie externen Dienstleistern zusammen, um eine integrierte und zukunftsfähige Cloud-Landschaft zu schaffen Du führst Architektur-Reviews durch und stellst sicher, dass Best Practices und Standards eingehalten werden Du unterstützt bei der Auswahl und Einführung neuer Cloud-Dienste und -Technologien und bewertest deren Auswirkungen auf die bestehende Infrastruktur Du begleitest Projekte von der Planung bis zur Umsetzung und stellst die technische Qualität und Konsistenz sicher Du bringst dich aktiv in die Weiterentwicklung von IT-Serviceprozessen und Automatisierungslösungen ein Du stellst Anwendersupport im Hard- und Softwareumfeld (Business-Applikationen und M365 Komponenten) sicher Du hast ein erfolgreich abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation Du hast fundierte Erfahrung in der Konzeption und Umsetzung von Azure-Cloud-Architekturen in komplexen Unternehmensumgebungen Du bist vertraut mit Azure-Diensten wie Compute, Storage, Networking, Security, Governance und Monitoring und kannst diese strategisch einsetzen Du verfügst über fundierte Kenntnisse in allgemeinen IT-Vorgängen, einschließlich Netzwerk, Virtualisierung, Identität, Geschäftskontinuität, Governance, Datenplattformen sowie idealerweise in den Bereichen Sicherheit und Notfallwiederherstellung Du hast Erfahrung in der Gestaltung, Implementierung und Administration von Microsoft Cloud/Azure-Infrastrukturen, Architekturen und Ressourcen Du besitzt Scripting-Fähigkeiten, vorzugsweise in PowerShell, und bist sicher im Umgang mit Intune und Entra Du hast Erfahrung im Umgang mit Microsoft 365 und SharePoint und kennst dich im ITSM-Bereich aus (z.
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent productsDefinition, further development and continuous optimisation of overarching verification methods based on system requirements and use casesPlanning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standardsCoordination, implementation and monitoring of test processes in close cooperation with development departments and verification teamsAnalysis of test results, risk assessment and derivation of appropriate measures to improve qualityDefinition of series tests taking into account risk analyses and statistical methodsClose cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer scienceExtensive experience as a test manager and in testing complex, interdisciplinary systemsExtensive professional experience in E2E IoT system testing and UI profile testingIn-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & appsIn-depth knowledge of build, release and DevOps environments as well as test automation.Practical experience in the use of common test management tools and agile development methodsKnowledge of JIRA, Confluence and Codebeamer is an advantageExperience with the Linux operating systemAn advantage: ISTQB certification as a test managerStructured, independent and decisive way of working with a strong awareness of qualityVery good communication, presentation and mediation skills as well as high social and intercultural competenceFluent English skills, German skills are a big advantage Option for a long-term project with the possibility of extensionBy applying through Hays, you will be part of a small, carefully selected group of candidates presented to the client for this positionChallenging and varied tasks in a promising and innovative industry Ihr Kontakt Ansprechpartner Jil Zoltai Referenznummer 865070/1 Kontakt aufnehmen E-Mail: jil.zoltai@hays.ch Anstellungsart Freiberuflich für ein Projekt
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent products Definition, further development and continuous optimisation of overarching verification methods based on system requirements and use cases Planning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standards Coordination, implementation and monitoring of test processes in close cooperation with development departments and verification teams Analysis of test results, risk assessment and derivation of appropriate measures to improve quality Definition of series tests taking into account risk analyses and statistical methods Close cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer science Extensive experience as a test manager and in testing complex, interdisciplinary systems Extensive professional experience in E2E IoT system testing and UI profile testing In-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & apps In-depth knowledge of build, release and DevOps environments as well as test automation.
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
Make an impact: Development of our Customer Relationship Management (CRM) and Supplier Relationship Management (SRM) based on Dynamics 365 OnlineDevelopment of further business applications based on different modular elements of the MS Cloud Stack (Power Apps, Power Automate, Azure etc.)Working with state-of-the-art tools and development methodsCo-determination and design of our development methodology, release processes and agile approachSupport of our development team and management of external developersEffective collaboration with our CRM / SRM team and surrounding projects and product teamsActive design in solution design from the technical requirement to the finished solution What makes you stand out Education: successfully completed education in (business) computer science or a comparable education levelAt least 5 years' experience in the development of .NET, Dynamics, and Azure cloud components (C #, Javascript, DevOps, Visual Studio etc.)
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions. What makes you stand out Degree in Computer Science or a related field.4+ years of experience in agile software development with solid understanding of the full engineering lifecycle.Hands-on experience with: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers and Agentic AI systemsDesigning, building, and deploying advanced AI solutionsExperience with AI cloud platforms (e.g., Azure AI Foundry) and/or conversational AI platforms (e.g., Cognigy).DevOps experience, ideally within Microsoft Azure (ADO).Programming experience in at least one high-level language such as Python, Java, or TypeScript.Experience developing microservices using frameworks like Flask, Django, or Spring (Java).
What makes you stand out You hold a Bachelor's or Master's degree in Computer Science, IT, or a comparable technical qualification.You bring solid professional experience in cloud engineering – especially with Kafka and Kubernetes.You ideally have relevant certifications in cloud technologies or cloud architecture.You communicate clearly, proactively, and with strong structure – both in technical discussions and in cross‑team collaboration.You can explain complex technical topics in an understandable way, promote active knowledge sharing, and support others with an open and cooperative mindset.You have very good English skills; German is an advantage but not essential.
What makes you stand out Required Qualifications: You hold a degree in Computer Science or a related field and have 3+ years of experience in agile software development, with knowledge of the full engineering lifecycle.You have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers, agentic AI, and other advanced AI solutions, including practical experience in building and deploying such systems.You are familiar with AI cloud platforms such as Azure AI Foundry and/or conversational AI platforms (e.g., Cognigy), have hands-on DevOps skills ideally in the Azure Cloud (ADO), and bring basic knowledge of cloud technologies, preferably Microsoft Azure.You are familiar with programming fundamentals in at least one high‑level language such as Python, Java, or TypeScript, ideally developing microservices using frameworks such as Flask, Django, or Spring (Java).You communicate clearly and effectively in English and German.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.