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.)
Computer Futures sucht in Hamburg eine/n Senior .NET Fullstack Developer (m/w/d) Digitalisierung & DevOps (ID-Nummer: 13458419)
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
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.
SOAP, REST, OData, CDS, BTP). What makes you stand out You hold a degree in (business) computer science or have a comparable education or training in the IT field (e.g. IT specialist).You have professional experience in application development for SAP systems, ideally with a focus on SD/MM.Preferably, you have already gained experience with S/4HANA and SAP BTP.A passion for new technologies, IT trends, and agile development sets you apart.You have strong analytical and communication skills as well as a service-oriented and self-reliant working style within project teams.Fluent German and good English skills complete your profile.
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.
What makes you stand out You have successfully completed a degree in Business Informatics, Computer Science, Business Administration, or a comparable qualification. You bring solid knowledge of payment, card and transaction processing, or electronic payment systems.You have a strong technical understanding of payment system architectures, authorization systems, and interfaces to external service providers, and you have experience in analyzing, specifying, and implementing product requirements.
What makes you stand out Proven experience in RPA development (minimum 3 years) using tools like UiPath, Automation Anywhere, or Blue Prism.Strong programming skills in languages such as C#, .NET, Java, or Python.Knowledge of software development methodologies, Agile frameworks, and version control.Experience with process mapping and business process analysis.Strong problem-solving and debugging skills.Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.Bachelor’s degree in Computer Science, Information Technology, or a related field. What we offer: Attractive benefits packageRegina Maria medical subscription for you and your family according with internal policeMeal vouchersSpecial discounts for gymsAdditional days offDKV card with discount for fuel valid in 25 countriesWhen you are in the office can have free facilities like massage, fruits, coffeeFlexible working hours with home office and flextimeContinuous training and much more...
Dein Profil als Integration Specialist (m/w/d) am Standort Erlangen Proven experience in cloud migration projects, especially GCP to Azure. Degree in Computer Science or equivalent qualification. Strong knowledge of modern development tools (e.g., MS Visual Studio). Proficiency in programming languages (C#, Python, SQL, PowerShell) and interface technologies (REST, JSON).
Dein Profil als Integration Specialist (m/w/d) am Standort Erlangen Proven experience in cloud migration projects, especially GCP to Azure. Degree in Computer Science or equivalent qualification. Strong knowledge of modern development tools (e.g., MS Visual Studio). Proficiency in programming languages (C#, Python, SQL, PowerShell) and interface technologies (REST, JSON).
What You’ll Do: Partner with business teams to understand workflows, challenges, and opportunitiesIdentify and prioritize AI use cases with measurable business impactTranslate business needs into AI-driven solutionsDeliver practical AI training sessions, workshops, and demosPromote safe and responsible AI adoptionHelp teams understand AI capabilities, limitations, and best practicesDesign scalable AI solutions using Agentic AI, LLMs, and Generative AI conceptsApply prompt engineering best practicesBuild solutions using low-code/no-code platforms (e.g., Power Automate, Power Apps, Copilot Studio, Cognigy)Collaborate with AI and technical teams to bring ideas to production What makes you stand out 3+ years in business consulting, product, or similar roles guiding AI/automation initiatives3+ years delivering AI or automation projects with measurable resultsStrong understanding of: Agentic AI, LLMs & Prompt Engineering, Generative AI, Hands-on experience with tools like: Cognigy, Copilot Studio and Power Automate / Power AppsSolid understanding of data fundamentals (PII, permissions, telemetry)Experience building simple impact dashboards in Power BIExperience designing and running workshops & training sessionsDegree in Business Informatics, Computer Science, or related field What Makes You Stand Out: Collaborative, solution-oriented mindsetAbility to translate complex AI topics into business languageIndependent, proactive way of workingPassion for implementing cutting-edge AI solutions We are looking forward to your application and to applicants who enrich our diverse culture!
What You’ll Do: Collaborate in an Agile, International TeamWork closely with colleagues from Romania, Germany, and UkraineDesign, estimate, develop, and implement software solutions aligned with business needsActively communicate progress, risks, and technical decisions to stakeholdersBuild Scalable Data SolutionsDevelop agnostic data products within a modern, cloud-native data ecosystemSupport use cases across BI, Advanced Analytics, AI, and MLTranslate business requirements into robust technical architecturesContinuously enhance performance, quality, and cost-efficiency of solutionsProactively suggest improvements and best practices What makes you stand out Degree in Computer Science, Economics, or a comparable qualificationMinimum 3 years of experience as a BI Engineer or Data Engineer, focused on cloud-based architecturesStrong expertise in: Snowflake and DBT (Data Build Tool)Solid knowledge of: SQL and Data lakehouse architectures, Python is nice to haveCommunication is Key Excellent communication skills in English (written and spoken) — mandatoryAbility to clearly explain technical concepts to both technical and non-technical stakeholdersStrong stakeholder management and collaboration skillsComfortable working in cross-border, multicultural teams We are looking forward to your application and to applicants who enrich our diverse culture!
Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required. What makes you stand out Bachelor's degree or equivalent in Computer Science3+ years' experience in cloud developmentStrong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.
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.
As part of our team, you will take on the following responsibilities: You are responsible for the stable operation and continuous development of our Microsoft 365 environment, including Intune, Teams, SharePoint, OneDrive, Copilot, and related services.You actively contribute to the introduction of new features, technologies, and use cases within the Modern Workplace environment and support them from planning through to operational handover.You automate and standardize processes using PowerShell and Microsoft Graph to ensure efficiency, quality, and scalability.You ensure that our systems consistently comply with applicable security, compliance, and governance requirements.You work closely with internal stakeholders, support rollouts, and contribute to high user adoption through training, documentation, and enablement activities. What makes you stand out You hold a degree in computer science or have a comparable technical qualification.You have experience in operating and further developing Microsoft 365 services and feel confident in modern workplace environments.You bring solid knowledge of Entra ID (Azure AD), Intune, Conditional Access, Microsoft Teams, and SharePoint Online.You have hands‑on experience in PowerShell scripting and ideally in working with Microsoft Graph.You are interested in topics such as automation, security, governance and are motivated to further develop your skills in these areas.You work in a structured, self‑reliant manner and enjoy collaborating in a team.You have very good German and English skills, both written and spoken.
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!
What makes you stand out Strong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.Experience working in agile environments.Strong analytical mindset and proactive problem-solving approach.Strong communication, presentation skills both in terms of technology and managementDegree in Computer Science, Business Informatics or relevant field We are looking forward to your application and to applicants who enrich our diverse culture!
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.
As part of our team, you will take on the following responsibilities: You develop and maintain cloud‑based data pipelines and data products specifically for the Finance domain, built on our Snowflake database.You integrate financial and transactional data from various sources into our central Data Platform, optimize ETL processes, and ensure high data quality.You design and build new DataFlows and DataSets for Finance use cases and create as well as manage the corresponding Power BI reports.You collaborate closely with Finance Product Owners, Data Scientists, and Business Units to deliver meaningful analytical data products.You take ownership of data governance for all Finance data products and actively drive their further development.You support the modernization of our Finance data architecture and contribute to the migration towards cloud‑ and big‑data‑based technologies. What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You bring experience in Revenue Operations, Sales Operations, Sales Analytics, or a similar commercial analytics role.You have a strong understanding of sales processes, pipeline management, forecasting, and revenue metrics, and you can translate them into technical requirements for engineers.You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You are a great stakeholder manager who can talk to sales and engineering alike.You are highly proficient in Power BI and experienced in building dashboards that drive action.You are comfortable working with CRM data and sales systems (e.g.
What makes you stand out You have a degree in Business Informatics, Computer Science, or a related field, along with at least three years of experience in business consulting, product management, or a similar business‑oriented environment.You bring proven experience in implementing AI or automation initiatives that deliver measurable business impact.You possess practical knowledge of Agentic AI, LLMs, prompt engineering, and other GenAI concepts.You have hands‑on experience with low‑code / no‑code tools such as Cognigy, Copilot Studio, Power Automate, and Power Apps.You have foundational data literacy (data sources, permissions, PII, telemetry) and can build simple impact dashboards in Power BI; experience with Azure AI Foundry or conversational AI platforms is a plus.You work collaboratively and independently, can translate complex technical AI topics into clear business language, and have strong English skills as well as German proficiency at least at B2 level.
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.
What makes you stand out You have several years of experience leading teams in a payments, IT, or platform operations environment.You bring solid expertise in payment processing, ideally in the areas of card acceptance, authorization systems, or payment schemes.You hold a completed degree in Computer Science, Business Informatics, Business Administration, or a comparable qualification.You have experience operating highly available 24/7 systems as well as in incident and provider management.You also have a strong technical understanding of complex system architectures, integrations, and data flows.You have proven experience managing external service providers and leading complex, cross-functional projects.You are able to develop and implement technical concepts, feasibility analyses, and innovative solution approaches.You work in a structured and analytical manner and stand out through strong communication and stakeholder management skills.Very good German and English language skills, both written and spoken, complete your profile.
Computer Futures sucht in Hamburg, Hannover, Berlin, Stuttgart, Köln, Berlin, Düsseldorf, München, Frankfurt eine/n Senior Java Fullstack Developer (m/w/d) (ID-Nummer: 13458365)
VITRONIC Machine Vision GmbH sucht in eine/n Senior Software Engineer* Rust / C++ (Computer Vision, ML, Linux) (ID-Nummer: 13540597)
Schwarz Digits sucht in eine/n Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) (ID-Nummer: 13645353)
Schwarz Digits sucht in eine/n Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) (ID-Nummer: 13689687)
Computer Futures sucht in Hamburg, Berlin, Hannover, Stuttgart, Frankfurt, München, Köln, Düsseldorf eine/n (Senior) Consultant Microsoft Data & Analytics (m/w/d) Deutschlandweit (ID-Nummer: 13458331)
Computer Futures sucht in Hamburg, München, Frankfurt, Düsseldorf, Köln, Stuttgart, Oldenburg, Bremen, Dresden, Berlin eine/n Manager / Senior Consultant SAP EWM / WM (m/w/d) (ID-Nummer: 13764700)
Ihre Aufgaben: Entwicklung und Implementierung KI-gestützter Anwendungen mit Schwerpunkt auf Front-End-Lösungen (Machine Learning, NLP, Computer Vision, Generative AI, RAG-Systeme)Design und Programmierung von Softwaremodulen unter Nutzung moderner Sprachen und Frameworks (Python, Java, .NET, TensorFlow, PyTorch)Aufbau und Integration von Datenpipelines für Training und Betrieb von KI-Modellen auf Plattformen wie der Eigenentwicklung AI.nsteinKonzeption und Entwicklung fachspezifischer KI-Agents mittels Prompt-EngineeringZusammenarbeit mit Data Scientists und KI-Architekten bei der Überführung von KI-Modellen in produktive UmgebungenSicherstellung hoher Code-Qualität durch Clean Code-Prinzipien, Unit Tests und automatisierte TestverfahrenDurchführung von Fehleranalysen sowie kontinuierliche Optimierung und Weiterentwicklung bestehender AnwendungenTechnische Dokumentation von Entwicklungen, Architekturen und ErgebnissenEvaluation und Bewertung neuer KI-Technologien, Tools und Frameworks Ihre Qualifikation: Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine auf anderem Weg erworbene gleichwertige QualifikationMehrjährige Berufserfahrung in der Softwareentwicklung mit modernen Programmiersprachen (Python, Java, C#, JavaScript)Fundierte Kenntnisse im Bereich Künstliche Intelligenz (Machine Learning, NLP, Generative AI, RAG-Systeme)Ausgeprägte Erfahrung im Prompt-Engineering und in der Entwicklung von KI-AgentsPraktische Erfahrung mit KI-/Datenplattformen (z.B.
Ihr Profil Du studierst an einer Hoch- oder Fachhochschule und hast Interesse oder idealerweise bereits Vorkenntnisse in einem der folgenden Bereiche: Computer Vision / Bildverarbeitung Deep Learning / Machine Learning Programmierung und Softwareentwicklung (z. B. Python, PyTorch, TensorFlow) Datenanalyse und -aufbereitung Werkstofftechnik oder Beschichtungstechnik Du zeigst: Flexibilität und arbeitest zuverlässig und eigenständig nach Anweisungen Interesse an der Entwicklung von KI-basierten Analysemethoden und deren Integration in Softwarelösungen Pflichtbewusstsein, insbesondere bei der Durchführung wissenschaftlicher Arbeiten Grundkenntnisse im Bereich Werkstoffe und/oder Produktionstechnik sind von Vorteil Gute Sprachkenntnisse in Deutsch und Englisch Ihre Aufgaben Die folgenden Aufgaben bilden den Schwerpunkt deiner Tätigkeit: Einarbeitung in die automatisierte Analyse von Schliffbildern thermischer Spritzschichten Vorbereitung, Aufbereitung und Annotation von Bilddaten für das Training von Deep-Learning-Modellen Unterstützung bei der Implementierung, Training und Bewertung verschiedener Segmentierungsmodelle (z.
Ihr Profil Du studierst an einer Hoch- oder Fachhochschule und hast Interesse oder idealerweise bereits Vorkenntnisse in einem der folgenden Bereiche: Computer Vision / Bildverarbeitung Deep Learning / Machine Learning Programmierung und Softwareentwicklung (z. B. Python, PyTorch, TensorFlow) Datenanalyse und -aufbereitung Werkstofftechnik oder Beschichtungstechnik Du zeigst: Flexibilität und arbeitest zuverlässig und eigenständig nach Anweisungen Interesse an der Entwicklung von KI-basierten Analysemethoden und deren Integration in Softwarelösungen Pflichtbewusstsein, insbesondere bei der Durchführung wissenschaftlicher Arbeiten Grundkenntnisse im Bereich Werkstoffe und/oder Produktionstechnik sind von Vorteil Gute Sprachkenntnisse in Deutsch und Englisch Ihre Aufgaben Die folgenden Aufgaben bilden den Schwerpunkt deiner Tätigkeit: Einarbeitung in die automatisierte Analyse von Schliffbildern thermischer Spritzschichten Vorbereitung, Aufbereitung und Annotation von Bilddaten für das Training von Deep-Learning-Modellen Unterstützung bei der Implementierung, Training und Bewertung verschiedener Segmentierungsmodelle (z.
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.
CE, RoHS) Dein Profil Abgeschlossenes Studium in Elektrotechnik, Informatik, Computer Engineering oder vergleichbare QualifikationMindestens 7 Jahre Berufserfahrung in Hardware-Spezifikation, Systemarchitektur und ThermomanagementFundierte Kenntnisse im Umgang mit PCIe-Bussystemen sowie Intel- und AMD-ServerprozessorenErfahrung im EMV-gerechten Leiterplattendesign und mit Embedded SystemsSicherer Umgang mit CAD-Tools (vorzugsweise AutoCAD Inventor) und EAGLESehr gute Deutsch- und Englischkenntnisse in Wort und SchriftAnalytisches Denkvermögen, Teamgeist und eine lösungsorientierte Arbeitsweise Deine Vorteile Direkte Vermittlung in eine exklusive Position bei einem unserer renommierten PartnerUnbefristete Festanstellung in einem internationalen und abwechslungsreichen UmfeldAttraktive Vergütung inkl.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
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.
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
You will also undertake proactive maintenance and administration of computer hardware and software, and operations tools in support of the delivery of the IT service. You will develop new tools and procedures for further customization and automatization of existing products and processes and improve system availability with proactive work to avoid outages and performance issues with particular focus on maintenance services for all infrastructure used by the Operations Centre.
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.
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.
Azure ML, Azure Databricks) oder anderen Cloud-Lösungen Mehrjährige Projekterfahrung im Bereich Data- & Analytics-Architekturen sowie erste konkrete Erfahrung in AI-Projekten (z. B. Forecasting, Klassifikation, NLP, Computer Vision) Tiefgreifendes fachliches Verständnis und Umfassende technologische Expertise und tiefes fachliches Verständnis, erworben in zahlreichen Projekten über verschiedene Branchen hinweg Wünschenswert fundiertes (zertifiziertes) Know-how im agilen Produkt- und (Multi-)Projektmanagement (z.
Python programming experience required Investigate and respond to security alerts in our systems Create and maintain incident response playbooks Keep an eye on current threats and zero-day vulnerabilities in the cyber security space and implement preventative measures within the organization Who you are: min. 5+ years of experience in incident response security You have a background in Cyber Security, Computer Science or IT Operations You are experienced in incident response, blue teaming or digital forensics. Specifically in cloud-native environments You are able to write scripts and programs to automate tasks in Python or another programming language You are proficient with Linux and a SIEM You have experience working with web application firewalls, Cloudflare preferred.
Main Tasks and Key Responsibilities Overall goals / Typical measures Seeks and prospects for BC targets to win new customers generally in the 30k-500k Euro range Net Sales per annumPlans and manages medium to large - sized Business CustomersBuilds rapport and trust with customers by being informed about customer’s business and the marketAssesses the type and size of customer needsRecommends solutions based on customer needs by using industry knowledgeIs responsible for closing business by connecting a customer’s needs to a DHL solution by offering value to the clients supply chainSupports customer growth by conducting joint visits with Product, TL and organizing workshops inviting customers to share information on updated regulations, products, etcUses networks within the various Sales channels within DP DHL to collaborate on customers, marketing strategies and offers a full supply chain of services to service customer needsCollects relevant customer information for the RFI/RFP/RFQ and prepares documents for customer implementation in order to ensure proper operational handover and implementation to meet customer expectations (SLA’s & SOP’s)Is a master user of DGF CRMTransfers SC with high value potential to key account Sales channel Job Requirements Computer Literate – All MS Programsand willing to learn additional computer skillsAbility to work in a team environment and transfer of knowledge to team membersAbility to work within time constraints, make own decisions and advise Client of logistics solutionsPunctuality and time management skills are essential elements of this position.Ability to work under extreme pressure with minimal supervision.Ability to communicate effectively on all levelsAbility to use initiative and be a self-starterCreativity and problem-solving capabilitiesOutstanding Customer relationship skills a necessityPunctuality and time management skills are essential elements of this position.Must have previous freight experience Skills / Qualifications Key capabilities / Competencies Competence Competency segment ‘Business’ Analysis:Breaks down a problem, situation or process into its component parts, separates the main issues from side-issues, understands the nature of parts and their relationship to one another.
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.
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.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.