Data science állások, munkák it programozás, fejlesztés területen

Lead the end-to-end implementation and enhancement projects for SAP Financial Accounting & Controlling (SAP FI/CO) modules including gathering requirements, configuration, creating test conditions, UAT, training materials and implementation....

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• Development of a GUI to display data preprocessed with an existing library (toolbox-SXP)
• Adapt algorithms and analysis procedures to the GUI
• Collaborate in implementing visualisation tools based on EuXFEL data analysis tools

• Develop and integrate cutting-edge machine learning algorithms for future surgical imaging devices, utilizing multiple optical imaging modalities
• Work in a streamlined manner from a concept phase all the way to production-ready solutions

• Perform business analysis on product requirements and technical workflows
• Collaborate on projects of a technical nature, supporting implementation and ensuring alignment with product goals
• Gather, document, and refine business requirements in cooperation with stakeholders

Schwarz IT takes care of the entire digital infrastructure and all software solutions of the companies of Schwarz Group. As a result, it is responsible for the selection, provision, operation and continuing development of IT infrastructure, IT platforms and business applications. In order to...

Support the Global OSH Function by maintaining and developing OSH data models, systems, and applications, including data management, GDPR compliance, BI dashboards, reporting, and AI initiatives....

• Support a Scrum team in its daily work on smart video management software using modern web technologies or computer vision applications based on artificial intelligence.
• Identify what is state of the art and what truly excites our customers.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

INTERNSHIP IN MACHINE LEARNING (M/F) –%Implementing & Evaluating new ML Models for Sheet Metal Forming In this internship, you will have the opportunity to review, implement, and evaluate the latest machine learningmodels in the realm of process engineering and manufacturing. The nature of this...

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

• Creating products that make a real difference in the lives of patients and doctors
• Developing Acoustic and Language models based on our own state-of-the-art recognition
• Processing our enormous amounts of data for training and speaker adaptation

• Characterization, optimization, and application of the electromagnetic (EM) near-field
• predictive modeling of interactions between physical agents and physiology in complex anatomies
• medical applications that bridge fundamental research with real-world impact

• Act as the primary liaison between business stakeholders and technology teams;
• Gather, analyse, and document business and functional requirements;
• Translate business needs into user stories, functional specifications, and process models;

Crafting innovative solutions through requirements analysis, constructing workflow charts, and drafting precise specifications Transforming business requests into actionable development plans, user stories, and robust acceptance criteria Guiding projects from concept to seamless implementation,...

• Lead global principles and strategies for CSV, IT governance, and data integrity.
• Collaborate with functional QA teams to tailor strategies.
• Drive the digital quality roadmap and process automation aligned with QMS strategy.

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

• Lead the design, development, and deployment of integration solutions that align with IT strategy and business objectives.
• Ensure all integrations follow high development standards, established processes, and best‑practice architectural principles.

• Collaborate closely with internal business stakeholders and translate business requirements into technical solutions.
• Own the end-to-end CLM architecture, including SAP Variant Configuration (LO-VC), SAP VCP, SAP SSC, and Encoway CPQ.