Külföldi állások, munkák

• You will play a crucial role in digital transformation Projects
• Ensure project deliverables meet quality standards
• Support the development and implementation of technical solutions to monitor and improve data quality across the enterprise, with a strong focus on SAP R/3 and S/4HANA

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....

• Project Management and Analytical Skills: A robust background in project management, complemented by strong analytical thinking capabilities.
• Industry Expertise: In-depth understanding of New Installation (NI) and Modernisation (MOD) sales processes, with a focus on the relevant scope.

• 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.

• 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;

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....

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,...

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....

• 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.

Software Engineer (m/f/d) MF Group is a subsidiary of Riverty and part of the Bertelsmann Group. Around 120 employees work across two locations in Switzerland to make invoice-based purchasing with flexible installment payments even simpler and safer for Swiss retailers. As a leading Swiss provider,...

You will be closely working with our finance and controlling departments, locally and internationally, to understand their requirements and to provide a best practice approach for their business needs...

Development of the Purchasing & Procurement Domain according to the Area Consulting CoE Sustainable Enterprise and Corporate IT Strategy. Ensuring relevant business functions through the efficient use of applications, interfaces, and technologies - with the goal of reducing complexity in the...

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

• Ensure seamless communication and reporting to the TÜV SÜD Board of Management, Supervisory Board, TÜV SÜD Transformation Office, and other executive committees
• Continuously improve governance frameworks and decision-making processes in close collaboration with the OPEn Core PMO

• 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

Co-lead the global OT Security domain within the Digitalization Team, ensuring close alignment with Corporate IT, Maintenance, Engineering, and Production functions...

• 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

• 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

• 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".

• Administer, configure, and maintain the Salesforce platform (Sales Cloud, Service Cloud, or others as applicable), including user management, profiles, roles, and permissions
• Design and implement workflows, validation rules, custom reports and dashboards