Adatanalitikus állások Németországban (it programozás, fejlesztés)

Development, structuring, and documentation of (Gen)AI use cases with relevance for organization-wide business processes with Data Scientists and Product Owners...

• Managing and mentoring a multidisciplinary team of machine learning and image analysis experts
• Coordinating DCU activities across partner sites and aligning them with HI strategy

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

By leading efforts to embed resilience and defensibility into AI operations and leverage AI to enhance cyber security capabilities, this position enables ZEISS to proactively address emerging risks and to protect sensitive information. The role is crucial for aligning data and AI initiatives with...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

Own and operationalize privacy-by-design and privacy-by-default across all stages of the product development lifecycle, from concept and architecture to development, deployment, and maintenance....

• Help to build, inspire, lead and coach a team of developers and engineers to develop and maintain digital health solutions for prevention, rehabilitation and aftercare
• Ensure timely delivery of high-quality software products that meet our users‘ needs

Operational Reporting & BI Development: You design, develop and maintain Power BI reports and dashboards using DAX and Power Query, translating operational requirements into clear, reliable and scalable reporting solutions....

Analyze product sensory and related consumer data utilizing advanced statistic tools to report CAT (consumer affective tests) and QDA (quantitative descriptive analysis) projects. Create product intelligence related to consumer needs beyond regular sensory, gathering and analyzing consumer-centric...

Own the Strategic Agenda: Serve as the primary driver for high-priority initiatives ranging from new product pivots and features to market entry strategies...

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

• 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

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes

• Design and implementation of scalable data architectures
• Building and maintaining Data Lakes and Data Warehouses
• Designing/developing and optimizing data pipelines and data models for production, logistics, and supply chain data
• Ensuring data quality and integrity across multiple systems