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• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

Translation of AI opportunities into executable technical solution designs Definition of integration approaches with IT and business application/data owners Implementation of AI use cases using enterprise AI services and LLM APIs Hands-on contribution to prototyping, integration logic, and critical...

Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban Ügyfelek üzleti és IT folyamatainak felmérése Komplex megoldások tervezése, bevezetése és minőségbiztosítása Komplex automatizálási és integrációs megoldások...

Achieve the strategic goals of the state Baden-Württemberg in training on HPC and Data Intensive Computing, (after a successful transitional phase) by leading the training work package of the bwHPC-S5 project....

You will design and write a master's thesis on predictive maintenance for the electric heating elements of a commercial dishwasher....

Client-facing communication Participation in pre-sales discussions Collaboration with Sales and Customer Success teams Communication with clients’ technical teams Solution design and delivery Design and configuration of data labeling and processing pipelines using Python-based tools Combination of...

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

You steer internal and external international development teams to develop and operate a scalable, secure, and high-performance AI platform (In-Vehicle & Cloud)....

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

Support Transmission System Operators (TSOs) and Distribution System Operators (DSOs) in planning the power grid of the future Work directly with clients as part of international consulting project teams Perform power system analyses including power flow, voltage, short-circuit, N-1, redispatch...

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

Embedding in the daily life of AML entity monitoring and case management engineering team Embedding in the daily life of device fingerprinting technology engineering team Ensuring technical design alignment with SEON's architectural best-practices Ensuring security, scalability, and compliance in...

Lead and manage a global team of data scientists, ML engineers, and AI researchers, setting technical direction, ensuring quality, and fostering a strong culture....

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

Lead and collaborate with cross-functional teams to generate digital biomarker signatures from complex datasets using AI/machine learning, enabling target engagement assessment, patient stratification, and early signals of biological activity....

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

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,...

• Contribute to research on video-based machine learning methods
• Develop and evaluate models for semantic video understanding (e.g., Object interaction in video, dynamic scene understanding, semantic segmentation)
• Work with real-world datasets and problem settings from ZEISS applications