We programozó állások Németországban (it tanácsadó, elemző, auditor)

Support our customers across Europe in their journey towards Sales and Service Cloud by delivering remote and on-site services in collaboration with experts from our own and other CoEs. . We place a strong emphasis on design review activities, monitor, analyze, and optimize complex business...

development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation...

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Supporting the creation and maintenance of onboarding materials and internal documentation;
• Helping structure and document internal processes and improvement initiatives;
• Supporting communication and knowledge-sharing activities within the team;

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

Drive the adoption and effective use of AI solutions (e.g., Azure AI, Copilot) to optimize internal processes and enhance employee productivity...

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

• Establish yourself as the Go-to-person at customers for all AI related topics.
• Lead the design and delivery of SAP Business AI architectures aligned with customer business strategy.
• Translate strategic AI initiatives into technical reality

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

What You'll Do: We are seeking a skilled Cyber Detection Engineer to join our team and work on cutting-edge cloud and container security projects. This role offers the opportunity to develop and implement strategies to detect anomalous or malicious behavior in Public Cloud environments such as AWS,...

• Development of computational linguistic methods for the recognition and interpretation of (multimodal) metaphors
• Exploring the use of deep learning and LLMs for metaphor analysis
• Creation of annotated corpora and datasets
• Collaboration in an interdisciplinary team

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

• Performance analysis of user codes and guidelines for optimization
• Benchmarking time-to-solution and energy-to-solution
• Optimizing HPC operational parameter towards energy efficiency
• Assessment of performance portability
• Guiding scientists through the optimization process