Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects. A Bachelor's programme in Computer Science in Culture and Health and a Master's programme in Applied Computer Science are offered.The teaching assignment is in Bachelor's and Master's degree programmes of the department at the University in Berlin.
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.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
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
ZEISS sucht in eine/n Internship or Working Student in 3D Computer Vision (f/m/x) (ID-Nummer: 13716812)
Carry out the scanning and allocation of patient notes, invoices and other paperwork into the computer system as required. Manage IDEAS administration, including mail merges for non-lab documents and checking patient records when orders are received following Oxford TPA.