Data science állás, munka

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

Act as a consultant and technical expert on the Salesforce platform by providing support to stakeholders and users. Closely collaborate with experts from other areas to leverage on the Salesforce technologies through integrations with other solutions. Setting up new business units in SFMC including...

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts....

Work with C-suite executives to problem-solve key issues and provide actionable recommendations leveraging technology know-how and business sense Play an active role in all aspects of client projects including gathering and analyzing information, formulating and testing hypotheses, developing and...

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

Lead Data Scientist (f|m|d) | 100% | Hybrid working model | Zurich Switzerland Company Description Welcome to SMG Swiss Marketplace Group! SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products. We...

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

Lead the local team in developing new applications, ensuring that each phase, from design to coding, is executed with precision and quality. Oversee the installation and configuration of applications in various environments, ensuring a smooth and seamless transition for end users. Continuously...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

• Experience engineering management firsthand: from team rituals to strategic planning
• Build and evaluate AI tools that support leadership and operational tasks
• Improve data-driven approaches to organizational decisions
• Contribute your ideas in team meetings where they'll have a real impact

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

You teach fundamental knowledge with high practical relevance, e.g. for the topics penetration testing, threat modeling, cybersecurity auditing and information security management systems, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics cybercrime investigation, digital forensics, attack vectors and cybersecurity threat analysis, and are responsible for correcting exams....