YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
Willing to participate in a “hands-on” work environment, self-motivated with a Can-Do attitude, strong work ethic and entrepreneurial spirit Demonstrates general knowledge of the transportation / freight forwarding industry A team player with the ability to interact effectively and enthusiastically with a wide range of staff throughout the company Inquisitive, willing to learn and accept new challenges and responsibilities; motivated toward career growth, learning, and development Excellent communication, presentation and interpersonal skills Exceptional computer skills (Office Products: Word, Excel, PowerPoint, Outlook) WHAT’s IN IT FOr YOU?? A competitive base salary Exposure to all levels and areas of the DGF business CIF (Certified International Forwarder) certifications A long term career path with a global logistics and transportation company!
Willing to participate in a “hands-on” work environment, self-motivated with a Can-Do attitude, strong work ethic and entrepreneurial spirit Demonstrates general knowledge of the transportation / freight forwarding industry A team player with the ability to interact effectively and enthusiastically with a wide range of staff throughout the company Inquisitive, willing to learn and accept new challenges and responsibilities; motivated toward career growth, learning, and development Excellent communication, presentation and interpersonal skills Exceptional computer skills (Office Products: Word, Excel, PowerPoint, Outlook) WHAT’s IN IT FOr YOU?? A competitive base salary Exposure to all levels and areas of the DGF business CIF (Certified International Forwarder) certifications A long term career path with a global logistics and transportation company!
Willing to participate in a “hands-on” work environment, self-motivated with a Can-Do attitude, strong work ethic and entrepreneurial spirit Demonstrates general knowledge of the transportation / freight forwarding industry A team player with the ability to interact effectively and enthusiastically with a wide range of staff throughout the company Inquisitive, willing to learn and accept new challenges and responsibilities; motivated toward career growth, learning, and development Excellent communication, presentation and interpersonal skills Exceptional computer skills (Office Products: Word, Excel, PowerPoint, Outlook) WHAT’s IN IT FOr YOU?? A competitive base salary Exposure to all levels and areas of the DGF business CIF (Certified International Forwarder) certifications A long term career path with a global logistics and transportation company!
Willing to participate in a “hands-on” work environment, self-motivated with a Can-Do attitude, strong work ethic and entrepreneurial spirit Demonstrates general knowledge of the transportation / freight forwarding industry A team player with the ability to interact effectively and enthusiastically with a wide range of staff throughout the company Inquisitive, willing to learn and accept new challenges and responsibilities; motivated toward career growth, learning, and development Excellent communication, presentation and interpersonal skills Exceptional computer skills (Office Products: Word, Excel, PowerPoint, Outlook) WHAT’S IN IT FOR YOU?? A competitive base salary Exposure to all levels and areas of the DGF business CIF (Certified International Forwarder) certifications A long term career path with a global logistics and transportation company!
Willing to participate in a “hands-on” work environment, self-motivated with a Can-Do attitude, strong work ethic and entrepreneurial spirit Demonstrates general knowledge of the transportation / freight forwarding industry A team player with the ability to interact effectively and enthusiastically with a wide range of staff throughout the company Inquisitive, willing to learn and accept new challenges and responsibilities; motivated toward career growth, learning, and development Excellent communication, presentation and interpersonal skills Exceptional computer skills (Office Products: Word, Excel, PowerPoint, Outlook) WHAT’S IN IT FOR YOU?? A competitive base salary Exposure to all levels and areas of the DGF business CIF (Certified International Forwarder) certifications A long term career path with a global logistics and transportation company!
Willing to participate in a “hands-on” work environment, self-motivated with a Can-Do attitude, strong work ethic and entrepreneurial spirit Demonstrates general knowledge of the transportation / freight forwarding industry A team player with the ability to interact effectively and enthusiastically with a wide range of staff throughout the company Inquisitive, willing to learn and accept new challenges and responsibilities; motivated toward career growth, learning, and development Excellent communication, presentation and interpersonal skills Exceptional computer skills (Office Products: Word, Excel, PowerPoint, Outlook) WHAT’s IN IT FOr YOU?? A competitive base salary Exposure to all levels and areas of the DGF business CIF (Certified International Forwarder) certifications A long term career path with a global logistics and transportation company!
STELLENDETAILS: Einsatzort: 82234 Weßling Branche: Luft-/Raumfahrttechnik Beruf: Bachelor’s degree in Computer Science, Information Systems Tätigkeitsbereich: Produktion/Produktionsplanung Art der Anstellung: Arbeitnehmerüberlassung Befristung: unbefristet
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
Apply statistical methods to detect anomalies, trends and shifts. Your Profile BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics or Engineering.At least 5 years experience in the field of data analytics, data mining.Technical expert in the field of data analytics, data mining.Proficient in Python and SQL languages.Experienced with statistical modelling and data mining techniques.Strong problem-solving skills with ability to multi-task and manage multiple projects simultaneously.
Main Responsibilities: Work directly with Sales Engineers, Product Sales Development Managers, and Sales ManagersAnalyze sales data and pricing trends to support improvements in market‑specific pricingTrack online pricing for vacuum pump technology to assess competitive positioningDesign and generate reports, dashboards, and visualizations for the management teamAttend sales meetings, business functions, service calls, and customer visits alongside account managers and mentorsSupport development of internal data strategies to drive pricing and market‑focused sales initiativesBuild an appreciation for how data influences direct and indirect sales and marketing strategiesPerform other related duties as assignedTo succeed, you will need Skills / Knowledge / Experience: Education level: Must be a Junior or Senior majoring in: Computer ScienceManagement Information SystemsBusiness / Marketing AnalyticsIndustrial Engineering Knowledge areas/Skills: Strong analytical and creative problem‑solving skillsProficiency in Excel and/or Python; Tableau or PowerBI experience preferredSelf‑motivated, independent, flexible, organized, and methodicalResults‑driven, accountable, and ambitiousAdaptability in a dynamic, fast‑paced environmentIn return, we offer We believe there is always a better way.
Your assignments Producing designs, both initial outlines and full plans, of sewerage, water treatment and flood defence structures such as pump systems and pipe networksPresenting project details and technical information to colleagues and clientsWriting reportsManaging project budgetsKeeping up to date with changes in regulatory legislation and guidelinesWriting and advertising tender documents and managing contractsLiaising with clients, contractors, government agencies, local authorities and suppliersSupervising local staff and site workersUsing a variety of specialist computer applications/simulation softwareMaintain effective relationships with members of all divisions and departments responsible for performing services related to the projectPrepare construction cost estimates, perform construction monitoring and coordinate field activities Your profile University degree (M.Sc.) in civil engineer, mechanical engineer, process or environmental engineer or other suitable qualification Experience in the preparation of master plans, feasibility studies, tender documents and construction planning, and/or experience with construction supervision, project management and/or commissioning of water supply and/or wastewater treatment facilities.Preferably 5 years of professional experience in international consulting/engineering in the field of urban water management, preferably in projects financed by bilateral and multilateral donor organisations and development banksStructured approach to work a high degree of flexibility, initiative, persuasiveness and negotiation skills as well as the ability to work in a team Willingness to travel extensively Good knowledge of written and spoken English and preferably an additional business language (French, Spanish, etc.)
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.
Du verantwortest das Endpoint Management unserer Windows 11-Clients über Microsoft Intune und baust perspektivisch das Mac-Management mit auf.Du paketierst, testest und verteilst Software-Pakete über Intune und ScappMan und automatisierst Deployments für einen reibungslosen Roll-out.Du administrierst Mobile Devices (iPhones und iPads) über MDM und stellst eine sichere und effiziente Geräteverwaltung sicher.Du bearbeitest Support-Anfragen im Bereich Hardware, Software, Netzwerk und Telefonie über unser Ticketsystem (1st/2nd Level Support).Du installierst und wartest IT-Anwendungen und Endgeräte und stellst den einwandfreien IT-Betrieb auf Client-Ebene sicher.Zusammen im Team verwaltest Du Nutzerkonten, Computer und Zugriffsrechte im Microsoft Active Directory und Microsoft Entra ID, richtest VPN-, Mobil- und E-Mail-Zugänge ein und betreust die Software-Verteilung.Du kümmerst Dich um die Beschaffung von Hardware und Lizenzen und hältst dabei unser Inventar aktuell.Du entwickelst Automatisierungen und Self-Service-Lösungen, um Standardprozesse zu verschlanken und die User Experience zu verbessern.Du hilfst mit, den IT-Support stetig zu verbessern und behältst dabei auch die Optimierung unserer Client-Infrastruktur und Support-Prozesse im Blick.Du verfügst über ein abgeschlossenes Studium im IT-Bereich, eine Ausbildung als Fachinformatiker:in oder eine vergleichbare Qualifikation mit entsprechender Berufserfahrung.Du bringst fundierte Erfahrung mit Microsoft Intune (Endpoint Management, App-Deployment, Policies) und idealerweise mit Mobile Device Management (iPhones/iPads) mit.Du hast Erfahrung in der Software-Paketierung und bist bereit, Dich in Tools wie ScappMan einzuarbeiten.Du bist sicher im Umgang mit Windows 11-Client-Umgebungen.
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!
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.
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!
Ensure structured, transparent, and methodical execution of complex, cross-functional development projects Enable teams and leadership to make fact-based decisions, safeguards adherence to governance and processes, drives cross-functional alignment, and continuously improves execution performance across the organization Bachelor in Computer Science, Software Engineering, Electrical Engineering, Information Technology, or a related technical field Solid understanding of business–economic correlations, cost structures, and scenario evaluation Extensive experience driving structured execution of complex, cross-functional development projects, ensuring transparency, alignment, and methodical governance Experience coordinating or leading interdisciplinary technical development projects (mechatronic, embedded, system-level or cross-functional Strong proficiency with project management tools (e.g.
COMPUTER BILD sucht in eine/n Werkstudent Content Management (m/w/d) (ID-Nummer: 13551440)
Ensure structured, transparent, and methodical execution of complex, cross-functional development projectsEnable teams and leadership to make fact-based decisions, safeguards adherence to governance and processes, drives cross-functional alignment, and continuously improves execution performance across the organization Bachelor in Computer Science, Software Engineering, Electrical Engineering, Information Technology, or a related technical fieldSolid understanding of business–economic correlations, cost structures, and scenario evaluationExtensive experience driving structured execution of complex, cross-functional development projects, ensuring transparency, alignment, and methodical governanceExperience coordinating or leading interdisciplinary technical development projects (mechatronic, embedded, system-level or cross-functionalStrong proficiency with project management tools (e.g.
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.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
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.
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.
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.
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.
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.
Then, please send us your application: SCHOTT ASIA IT SERVICES, Human Resources, Wei Ni Tang, *At SCHOTT, it’s your personality that counts – not your gender, your identity, or origin.Your Profile Bachelor’s degree in Computer Science, Information Technology, or a related discipline.At least 4 years of experience in CMDB administration and ITSM process management.Strong understanding of IT service management frameworks, particularly ITIL.Hands-on experience with Configuration Management in ServiceNow.Solid knowledge of IT infrastructure, network architecture, and databases such as Microsoft SQL.Proficiency in data analysis and the creation of reports and dashboards.Excellent problem-solving skills and the ability to work independently with a focus on priorities.Strong communication and interpersonal skills.Ability to effectively train and educate others.Enthusiasm for learning and exploring new topics.Proficiency in English.
Tätigkeiten: Potenziale erkennen: Analysiere Kundenanforderungen und entwickle datengetriebene Lösungen – von Analytics über Machine Learning bis GenAI.Strategien entwickeln: Konzipiere individuelle Data-&-AI-Strategien für vielfältige Use Cases.Lösungen skalieren: Entwirf zukunftsfähige Architekturen für Datenplattformen, ML-Pipelines und AI-Systeme.Technologien prüfen: Teste und empfehle passende Technologien, begleite Umsetzungsteams mit klaren Roadmaps.Business ausbauen: Unterstütze Pre-Sales-Aktivitäten, Marktanalysen und die Weiterentwicklung datenbasierter Geschäftsbereiche.Angebote mitgestalten: Bringe deine Ideen in Lösungskonzepte, Kalkulationen und Präsentationen ein.Akademischer Hintergrund: Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, Computer Science oder eine vergleichbare Qualifikation.Erfahrung: Mehrjährige Erfahrung in der Konzeption und Umsetzung moderner Datenplattformen, ML-Lösungen und AI-Systeme.Technologiekompetenz: Fundierte Erfahrung mit Azure, Databricks oder AWS sowie in Python, SQL, Docker, CI/CD-Pipelines und Infrastructure as Code.Fachliches Know-how: Tiefes Verständnis moderner Datenarchitekturen, MLOps und Data Governance.Arbeitsweise: Kombination aus konzeptioneller Stärke, analytischem Denken und pragmatischer Hands-on-Mentalität.Kommunikationsstärke: Fähigkeit, komplexe Themen klar und überzeugend zu vermitteln – in Deutsch und Englisch.Flexibilität: Wir bieten dir flexible Arbeitsmodelle mit großzügiger Gleitzeitregelung – wahlweise an einem unserer Standorte oder bis zu 100 % mobil innerhalb Deutschlands.Einarbeitung & Entwicklung: Deine individuelle Einarbeitung und Karriereförderung liegen uns am Herzen.
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services Products you need to be familiar with •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
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.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services APPLICATION YOU WILL USE •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
Weiterbildung, die Spaß macht: Über unsere People & Culture Development nehmt Ihr an Trainings wie Projektmanagement, Englisch und Workshops zur Weiterentwicklung teil und baut eure fachlichen sowie persönlichen Fähigkeiten weiter aus International unterwegs: Ihr habt die Möglichkeit, ein (Theorie-)Auslandssemester an einer Partnerhochschule der DHBW zu absolvieren Top Perspektiven: Mit Engagement und guten Leistungen stehen euch nach dem Studium viele spannende Karrierewege bei uns offen Das bringt Ihr mit (Fach-)Abitur oder Fachhochschulreife Technisches Verständnis und sicherer Umgang mit Computern Begeisterung für Informatik und KI-getriebene Themenfelder Lust auf Teamwork und aktives Mitgestalten Strukturierte, zuverlässige Arbeitsweise und Offenheit für Neues Rahmenbedingungen: flexibles Arbeiten durch Vertrauensarbeitszeit, Urlaubs- und Weihnachtsgeld, 30 Tage Urlaub Der Start bei uns: ausführliche Onboarding-Phase mit vielseitigen Einführungsveranstaltungen, Einarbeitung durch Paten, E-Learnings, Start-Up Woche mit Auszubildenden und Studierenden in den ersten Wochen Wohlfühlen: kostenlose Tiefgarage, subventioniertes, frisch zubereitetes Essen in der hauseigenen Kantine/kostenlose Heißgetränke, Gesundheitsmanagement, Fitnessraum in Weingarten, Ruheraum, Tischkicker, gemeinsame Events und Sportveranstaltungen Entwicklung: Aus- und Weiterbildungsmöglichkeiten durch unsere interne P&C-Academy oder durch externe Schulungen, vielfältige Übernahmemöglichkeiten nach der Ausbildung bzw. nach dem Studium / Ausbildungsleitung und Ausbildungsbeauftragte fördern euer Talent und begleiten euch fachlich und persönlich auf eurem Weg Extras: Arbeitgeberzuschuss zu vermögenswirksamen Leistungen, mobile Endgeräte der neuesten Generation (iPhone, Surface Laptop, AirPods Pro) auch zur privaten Nutzung, EGYM Wellpass, Workation, Corporate Benefits: Rabatte bei Markenanbietern Wir freuen uns auf dich!
Contribute to knowledge management efforts, sharing best practices and lessons learned with the team. Dein Profil Requirements: Education: Bachelor’s degree in Computer Science, Information Technology, or related field. Experience: At least 3 years of experience with Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
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.
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Documentation & Training Develop and maintain system and process documentation.Deliver standard user training for supported applications. Your Profile Bachelor Degree in Computer Science, Business Informatics, or a comparable field.3 years of experience in operating production services and operational services, initial experience in dealing with service providers and advising customersExperience with MES systems (e.g., HydraX, Cronetwork).Proficiency with monitoring and logging tools (Grafana, Kibana).Linux expertise (Debian preferred).Scripting and automation (Bash, Python, Perl).Networking fundamentals and integration knowledge.Containerization (Docker, Kubernetes) and CI/CD pipelines.Virtualization and cloud technologies (VMware, KVM, Azure).SQL database knowledge.Initial experience with service providers and customer advisory.Strong communication skills and knowledge of application management processes.Understanding of business processes in smart factory contexts.Familiarity with service management methods (PMI & ITIL).Proficiency in English.
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.
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.
Fachliche Abstimmung und Beratung anderer Fachabteilungen und mit den anderen regionalen Gesellschaften Übergeordnete Steuerung und Überwachung des operativen Facility-Managements sowie Sicherstellung des Berichtswesens Implementierung und Überwachung von KPI's im Bereich CREM (Corporate Real Estate Management) Betreuung und Weiterentwicklung des CAFM-Systems (Computer-Aided Facility Management) Weiterentwicklung der Digitalisierung im Immobilienmanagement und Gebäudebetrieb Perspektivisch Ausweitung des Aufgabenbereichs auf die FM-Beratung des internationalen Portfolios Fachrichtung Facility Management, Gebäude-, Versorgungs-, Elektrotechnik oder aus einem artverwandten Bereich Umfangreiche Kenntnisse und fundierte Projekterfahrung in den Bereichen Betreiberverantwortung und Facility Management Ausreichend sehr fundierte Expertise Hohe technische und organisatorische Kompetenz sowie lösungsorientiertes, eigenverantwortliches sowie prozessuales und analytisches Denkvermögen Ausgeprägte Auffassungsgabe, Fähigkeit komplexe Strukturen zu erfassen Sicheres überzeugendes Auftreten, Durchsetzungsvermögen mit ausgeprägter Kommunikationsfähigkeit und Empathie sowie Kooperationsfähigkeit Sicherer Umgang mit MS Office, SAP und CAFM Konzernerfahrung wünschenswert Option auf Verlängerung Ein spannender Aufgabenbereich Betreuung und Vergütung durch Hays Ihr Kontakt Referenznummer 862253/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Fachliche Abstimmung und Beratung anderer Fachabteilungen und mit den anderen regionalen GesellschaftenÜbergeordnete Steuerung und Überwachung des operativen Facility-Managements sowie Sicherstellung des BerichtswesensImplementierung und Überwachung von KPI's im Bereich CREM (Corporate Real Estate Management)Betreuung und Weiterentwicklung des CAFM-Systems (Computer-Aided Facility Management)Weiterentwicklung der Digitalisierung im Immobilienmanagement und GebäudebetriebPerspektivisch Ausweitung des Aufgabenbereichs auf die FM-Beratung des internationalen Portfolios Fachrichtung Facility Management, Gebäude-, Versorgungs-, Elektrotechnik oder aus einem artverwandten BereichUmfangreiche Kenntnisse und fundierte Projekterfahrung in den Bereichen Betreiberverantwortung und Facility ManagementAusreichend sehr fundierte Expertise Hohe technische und organisatorische Kompetenz sowie lösungsorientiertes, eigenverantwortliches sowie prozessuales und analytisches DenkvermögenAusgeprägte Auffassungsgabe, Fähigkeit komplexe Strukturen zu erfassenSicheres überzeugendes Auftreten, Durchsetzungsvermögen mit ausgeprägter Kommunikationsfähigkeit und Empathie sowie KooperationsfähigkeitSicherer Umgang mit MS Office, SAP und CAFMKonzernerfahrung wünschenswert Option auf VerlängerungEin spannender AufgabenbereichBetreuung und Vergütung durch Hays Ihr Kontakt Referenznummer 862253/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
. • Leverage knowledge of Engineer to Order (ETO) and other Product Lifecycle Management (PLM) solutions to ensure seamless E2E process integration. • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. • Long years of experience as an SAP Consultant, with a focus on S/4 HANA, SAP PP, QM, Serialization, and Batch Management. • Proven experience in SAP project roll-out implementations. • Strong analytical and problem-solving skills, with the ability to think critically and strategically. • Excellent communication and interpersonal skills, with the ability to work collaboratively across teams. • Experience with Serialization and Batch Management in an S/4 HANA environment is highly desirable. • Knowledge of Engineer to Order (ETO) processes and other PLM solutions is a significant advantage. ##5,472000004
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
Dein Profil: Ein laufendes Studium in Informatik, Umwelt- oder Elektrotechnik, Data Science, Ingenieurwissenschaften oder einem vergleichbaren Studiengang.Interesse an Bildverarbeitung, Computer Vision oder KI-basierten Methoden.Erste praktische Erfahrung in der Softwareentwicklung (z. B. Python, C++, Machine-Learning-Frameworks).Analytisches Denkvermögen, strukturierte Arbeitsweise und Freude an experimenteller Forschung.Fließende Deutschkenntnisse sowie gute Englischkenntnisse in Wort und Schrift.
. • 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.