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.
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.
#shapeandcreate Your Responsibilities: Act as an expert for SAP EWM and TM: provide technical advice and innovative solutions for complex challenges.Hands-on development: ABAP programming, enhancements (BADIs, User Exits), custom reports, interfaces (IDocs, RFCs, APIs), and UI technologies (Fiori, Screen Personas).Technical reviews, performance optimization, and troubleshooting of SAP SCM systems.Creation and maintenance of comprehensive technical documentation.Stay up-to-date with the latest SAP SCM innovations and industry trends.Support the integration of SAP EWM/TM with other SAP modules (e.g., PP, MM, SD) and external systems. Your Profile: Completed degree in Computer Science, Information Technology, or a comparable field..Proven track record as a Technical Architect or Developer in multiple full-lifecycle SAP EWM/TM implementations.Deep ABAP development skills (ABAP Objects, BAPIs, BADIs, User Exits) specifically in the EWM/TM context.Sound knowledge of SAP EWM and TM processes.Experience with integration technologies such as IDocs, RFCs, Web Services, and CPI.Knowledge of SAP Fiori/UI5 development is a plus.Excellent analytical, problem-solving, and conceptual thinking skills.Fluent in English (written and spoken); German language skills are a significant advantage.
Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
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.
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?
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?