Wir unterstützen das Unternehmen beim Aufbau eines starken Teams mit Start-Up-Denkweise, um Projekte in den Bereichen Computer Vision, Sensortechnologien, Datenwissenschaft, Künstliche Intelligenz, Konnektivität und Robotik durchzuführen. Jetzt bewerben Die Aufgabe Entwicklung mobiler Apps, vorzugsweise im medizinischen BereichIntegration von Apps in Cloud-Systeme und Entwicklung von Schnittstellen zu medizinischen GerätenLeiten der externen Entwicklungspartner bei der App-EntwicklungImplementierung einer geeigneten Infrastruktur für die App-EntwicklungDie Suche nach neuen Technologien und TrendsBeratung des Projektteams mit technischem Wissen rund um die App-Entwicklung Das Profil Branchenerfahrung in der Entwicklung mobiler Apps, vorzugsweise im medizinischen BereichBeherrschung der wichtigsten Entwicklungssprachen wie z.
Wir unterstützen das Unternehmen beim Aufbau eines starken Teams mit Start-Up-Denkweise, um Projekte in den Bereichen Computer Vision, Sensortechnologien, Datenwissenschaft, Künstliche Intelligenz, Konnektivität und Robotik durchzuführen. Jetzt bewerben Die Aufgabe Technisch leiten Sie hoch innovative, medizinische Softwareprojekte Für das Software Entwicklungsteam definieren Sie Methoden und Tools Sie definieren und implementieren die Architektur für die Software- und SystemintegrationUm die Benutzeranforderungen in Spezifikationen umzuwandeln, arbeiten Sie eng mit dem Product Owner zusammenSie verantworten das Scouting und die Integration modernster SoftwaretechnologienSie sind Coach von Junior-Softwareentwicklern und Co-Entwickler im Projektteam Das Profil Mehrjährige Erfahrung in der Entwicklung von Anwendungssoftware, vorzugsweise für medizinische GeräteSie beherrschen wichtige Softwaresprachen wie z.B.
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
B. in den Bereichen Company GPTs, AI Agents, Automation, Predictive Analytics oder Voice Bots Analyse & Optimierung: Du identifizierst Potenziale in Geschäftsprozessen und entwickelst Lösungen auf Basis moderner KI-Technologien wie Large Language Models (LLMs), Computer Vision oder Robotic Process Automation (RPA) Umsetzung & Verantwortung: Du übernimmst Teilprojekte, präsentierst Ergebnisse auf Managementebene und sorgst für die nachhaltige Integration von KI-Lösungen Innovation & Teamwork: Du arbeitest in einem agilen KI-Spezialisten-Team, das Trends und Technologien evaluiert und unser Beratungsportfolio kontinuierlich weiterentwickelt Dein Profil Abgeschlossenes Studium in Informatik, Wirtschaftsinformatik, Data Science oder einem vergleichbaren Fachgebiet Ausgeprägte analytische und konzeptionelle Fähigkeiten Erste praktische Erfahrung mit AI-Use-Cases und deren Umsetzung Hands-on-Know-how in Containerisierung & Orchestrierung (Docker, Kubernetes) Kenntnisse in AI/ML-Frameworks (z.
Location: Mobile Work (Mexico) What you’ll do Lead the charge: Manage cross-functional teams to deliver software into major retail environments Be the face: Build strong customer relationships as the main contact throughout the project lifecycle Keep it agile: Support Agile processes and enable smooth development execution Own the numbers: Manage budgets, forecasts, and invoicing with precision Stay ahead: Report on status, risks, and financials across stakeholder levels Solve smart: Resolve issues, ensure quality, and keep projects on time and on budget What you bring A degree in Computer Science, IT, or a related field Strong experience in the Central/Latin America`s retail market, experience in IT/software projects; POS background is a plus Proven success in managing customer-facing projects, including budgeting and contracts Strong communication skills and confidence in stakeholder management Team-oriented, creative in problem-solving, and adaptable to dynamic environments Fluent in English Willingness to travel and take your expertise global
RAG-Anwendungen, Agenten oder Tooling) in stabile, produktive Services wie APIs, Backends oder Worker – inklusive Architektur, Error Handling und technischer Dokumentation Aufbau zuverlässiger Daten- und Dokumentenpipelines (Ingestion, Transformation, Indexing/Embeddings, Retrieval) als zentrale Bausteine für produktionsreife KI-Lösungen Entwicklung und Etablierung umfassender Test- und Qualitätsstrategien (Unit-, Integrations- und End-to-End-Tests) sowie LLM-spezifischer Evaluations- und Regressionsmechanismen (Eval-Sets, Guardrails, Versionierung) Aufbau und Betrieb von CI/CD-Pipelines, Umgebungen (Dev/Test/Prod) und Release-Prozessen für zuverlässige Bereitstellung GenAI-basierter Services Implementierung moderner Observability (Logging, Tracing, Metrics, Dashboards, Alerts) sowie Umsetzung von Security- und Governance-Standards (Identity/RBAC, Secrets, Policies) Ihr Profil Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation Mehrjährige Erfahrung im Software Engineering, idealerweise mit Schwerpunkt Python; zusätzliche Kenntnisse in TypeScript, Java oder C# sind von Vorteil Erfahrung in der produktiven Entwicklung von Backend-Services einschließlich Tests, CI/CD und Integrationslandschaften Fundiertes technisches Verständnis für Betrieb und Stabilität produktiver Systeme – insbesondere Monitoring, Alerting, Incident-Readiness sowie Performance- und Kostenbewusstsein Praxis im Umgang mit Cloud-Technologien, bevorzugt Microsoft Azure (Identity, Secrets Management, Storage/Compute, Netzwerkgrundlagen) Strukturierte, qualitätsorientierte Arbeitsweise sowie der Anspruch, hochwertige und skalierbare GenAI-Lösungen in Produktion zu bringen Einsatzort: Dortmund ǀ Nordrhein-Westfalen
RAG-Anwendungen, Agenten oder Tooling) in stabile, produktive Services wie APIs, Backends oder Worker – inklusive Architektur, Error Handling und technischer Dokumentation Aufbau zuverlässiger Daten- und Dokumentenpipelines (Ingestion, Transformation, Indexing/Embeddings, Retrieval) als zentrale Bausteine für produktionsreife KI-Lösungen Entwicklung und Etablierung umfassender Test- und Qualitätsstrategien (Unit-, Integrations- und End-to-End-Tests) sowie LLM-spezifischer Evaluations- und Regressionsmechanismen (Eval-Sets, Guardrails, Versionierung) Aufbau und Betrieb von CI/CD-Pipelines, Umgebungen (Dev/Test/Prod) und Release-Prozessen für zuverlässige Bereitstellung GenAI-basierter Services Implementierung moderner Observability (Logging, Tracing, Metrics, Dashboards, Alerts) sowie Umsetzung von Security- und Governance-Standards (Identity/RBAC, Secrets, Policies) Ihr Profil Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation Mehrjährige Erfahrung im Software Engineering, idealerweise mit Schwerpunkt Python; zusätzliche Kenntnisse in TypeScript, Java oder C# sind von Vorteil Erfahrung in der produktiven Entwicklung von Backend-Services einschließlich Tests, CI/CD und Integrationslandschaften Fundiertes technisches Verständnis für Betrieb und Stabilität produktiver Systeme – insbesondere Monitoring, Alerting, Incident-Readiness sowie Performance- und Kostenbewusstsein Praxis im Umgang mit Cloud-Technologien, bevorzugt Microsoft Azure (Identity, Secrets Management, Storage/Compute, Netzwerkgrundlagen) Strukturierte, qualitätsorientierte Arbeitsweise sowie der Anspruch, hochwertige und skalierbare GenAI-Lösungen in Produktion zu bringen Einsatzort: Dortmund ǀ Nordrhein-Westfalen
Rethink Retail: Stay in front of emerging trends, analyze, and design next-gen business processes across omnichannel environments. What You Bring Education: Degree in Computer Science, Information Technology, Management Information Systems, or relevant discipline. Experience: Strong experience in the Central/Latin America retail market and POS process knowledge.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB) Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service Mapping Ensure integrity, accuracy, and currency of all Configuration Items (CIs) Define, implement, and enforce ITIL-aligned configuration policies, standards, and procedures Align asset and configuration data in close cooperation with the Group Competence Center for IT Configuration Management Support the integration of IT Asset Management and Configuration Management processes and tools Work closely with Change Management, Incident Management, and the Service Desk Conduct audits and process reviews, identify discrepancies, and drive corrective actions Train, advise, and support IT teams on configuration management best practices Contribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantage Strong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirable Proven professional experience in Configuration Management within medium to large IT environments Solid knowledge of IT Asset Management and its interaction with configuration data Hands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platforms Structured, detail-oriented, and process-driven working style Confident communicator, able to collaborate effectively across departments and stakeholder groups Very good command of English, written and spoken Experience supporting ITSM-related projects, particularly automation and tool integration initiatives Confidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office option Extensive Learning & Development opportunitie Life balance & family-friendly benefits Modern office environment with canteen Health & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB)Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service MappingEnsure integrity, accuracy, and currency of all Configuration Items (CIs)Define, implement, and enforce ITIL-aligned configuration policies, standards, and proceduresAlign asset and configuration data in close cooperation with the Group Competence Center for IT Configuration ManagementSupport the integration of IT Asset Management and Configuration Management processes and toolsWork closely with Change Management, Incident Management, and the Service DeskConduct audits and process reviews, identify discrepancies, and drive corrective actionsTrain, advise, and support IT teams on configuration management best practicesContribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantageStrong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirableProven professional experience in Configuration Management within medium to large IT environmentsSolid knowledge of IT Asset Management and its interaction with configuration dataHands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platformsStructured, detail-oriented, and process-driven working styleConfident communicator, able to collaborate effectively across departments and stakeholder groupsVery good command of English, written and spokenExperience supporting ITSM-related projects, particularly automation and tool integration initiativesConfidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office optionExtensive Learning & Development opportunitieLife balance & family-friendly benefitsModern office environment with canteenHealth & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
. • High degree of self-accountability and commitment and a strong growth mindset to drive change and contribute actively to future leading transformation. • Very good computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. • Flexibility to occasional business travel for client meetings. • Strong problem solving skills. • Ability to make decisions, bringing clarity to disparate information to inform actions and drive results.
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.
What makes you stand out You hold a Master’s degree in Economics, Mathematics, Statistics, Computer Science, or another related quantitative field.You bring at least 3 years of professional Data Science experience and have a proven track record of bringing models from the lab into real‑world production use cases.You are proficient in Python and SQL and have hands‑on experience building solutions on Azure and working with Snowflake.You have a deep understanding of statistical methods and apply them effectively in an agile, fast‑paced environment.You think in products, not experiments – model versioning, testing, and performance monitoring are second nature to you.You communicate complex topics clearly and with impact, presenting to different audiences confidently; you are fluent in English, and German skills are a plus.