Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Du möchtest herausfinden, ob dein Traumberuf und TRUMPF Hüttinger als Ausbildungsbetrieb wirklich zu dir passen?
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.
The professional possesses in depth knowledge of the critical stages of semiconductor manufacturing, with a strong focus on wafer test and chip assembly, and maintains a high level understanding of adjacent process stages, including front end wafer fabrication and final test.Degree in Computer Science, Software Engineering, Electrical Engineering or comparable technical fieldStrong IT / software background with understanding of software architecture, data models and interfaces, system integration, industrial software solutions ideally with a background in manufacturing IT or MES environmentsExperience in semiconductor manufacturing, preferably in Wafer Test / Wafer Sort, Assembly, Final TestSolid knowledge of semiconductor data formats and standards such as SEMI E142, SECS/GEM (E5), E183, G85, STDFAbility to analyze complex technical data flows and translate them into software requirementsExperience working at the interface between customers, engineers and software development teamsStrong analytical and structured communication skillsFluent English required, German skills are a plus Gesundheitsmaßnahmen Mitarbeiterrabatte Aus- und Weiterbildung Betriebliche Altersvorsorge Mitarbeiterevents Unbefristete Arbeitsverträge Workation Flache Hierarchien und kurze Kommunikationswege 30 Tage Urlaub sowie anlassbezogener Sonderurlaub Reduzierte Vollzeit In der znt Zentren für Neue Technologien GmbH in Deutschland sowie in Österreich liegen unsere Vollzeitverträge unter 40 Stunden pro Woche.
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!
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Your Profile BS in Engineering, or similar technical discipline.Two (2) years related experience in a manufacturing environment, preferably in the field of optics.Ability to interpret technical drawings and specifications.Working knowledge of GD&T and how to evaluate.Hands on experience with manual measurement tools (calipers, micrometers, indicators, etc.) and electronic measurement equipment (vision systems, optical microscopes, comparators, etc.).Experience in product and process audits.Experience in following / maintaining an ISO 9001, 13485, AS9100 Quality Management System.Strong analytical ability and a disciplined problem-solving approach. Computer proficiency and experience using Microsoft Office software.Must be able to read, write, and speak English.Effective communication skills: listening, writing, speaking and oral presentations.
Occasional tasks include typing, dialing, climbing, balancing, stooping, kneeling, crouching, crawling, and reaching. Lifting up to 20 pounds may be required. Frequent computer use and visual acuity—including close, color, distance, depth perception, and focus adjustment—are essential.
Skills & Attributes Strong interpersonal skills and customer‑driven mindset.Strategic thinker with strong business acumen and commercial agility.Impactful communicator with the ability to lead, motivate, and influence teams.Results‑driven leader with a proactive, energetic, and collaborative approach.Excellent computer skills (MS Office, Word, Excel, PowerPoint).In return, we offer We believe there is always a better way. Open for change and feedback is what defines our 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 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.
Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Du möchtest herausfinden, ob dein Traumberuf und TRUMPF Hüttinger als Ausbildungsbetrieb wirklich zu dir passen?
Create clear, structured documentation that supports both internal teams and end users. What you bring A degree in Computer Science or a comparable qualification. Several years of professional experience in Java-based software development, with knowledge of relevant tools, technologies, and frameworks including Spring, Maven, Eclipse, Git, Jenkins, Mockito, PostgreSQL, and MSSQL.