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.
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.
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!
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.
Werden auch Sie ein Teil der erfolgreichen MBDA-Gruppe. WAS SIE BEITRAGEN KÖNNEN Sie studieren aktuell Informatik, Computer Vision, Statistik oder Data Analytics und sind an einer spannenden Werkstudententätigkeit interessiert? Sie interessieren sich für verschiedene Methoden aus den Bereichen Statistik und Data Mining?