E-learning állás, munka

Design and Implement Scalable Data Architectures. Architect end-to-end data solutions that support ingestion, storage, processing, and analytics for both customer and machine data....

You will gather and analyze requirements from stakeholders and users, translating them into clear specifications for our development teams....

• Coordinate and support DLP projects on a day-to-day basis
• Track project progress and prepare status reports
• Organize, prepare, and document meetings (incl. summaries)
• Prepare decision-support materials for project leadership
• Align different project streams and coordinate stakeholders

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

Coordinates the execution of MOL Group business, functional strategy in their department, focusing on areas performing core business functions....

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

Contribute in SystemVerilog RTL verification and debug; formal bring-up of non-trivial IP blocks to achieve required quality levels (SystemVerilog/UVM, Formal, scripting) Work closely with engineers across design, performance modelling, validation, and implementation to meet all functional...

Work alongside experienced engineers as part of a development team Support existing projects Explore and prototype ideas for the future Work across all aspects of the software life cycle Upstream code into an Open Source project...

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Learn the existing system architecture, codebase, tools, and development practices Validate existing technical documentation and flag any gaps or outdated content Proactively highlight blockers to knowledge transfer (e.g., missing info, unclear logic, inaccessible systems) Maintain coding...