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....

• Help design smart, scalable cloud applications using Azure-native and custom components
• Build, operate, and monitor cloud solutions end‑to‑end
• Automate everything you can – scripts, processes, workflows

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

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• 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...

Lead a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud. Provide mentoring and technical support to junior and medium teammates. Act as a trusted advisor to clients. Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI...

Comprehending complex needs: Understanding both business and customer needs in complex energy-related domains, driving product scoping to a level of detail that enables development, and helping deliver the best possible customer experience for our clients Consulting & advising clients: Leading...

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...

Partner with engineering, finance, and product teams to track, analyze, and forecast AWS and cloud hosting spend across multiple services and environments. Lead ongoing cost optimization initiatives by identifying waste, working with technical teams to address the waste, optimize the spend, and...

Join a client service team for 8-10 weeks, contributing to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy and create actionable plans that drive real change Combine research, analyzing data, interviews, and brainstorming to generate fresh insights and...

Implement transformation projects across sectors, ensuring long-term impact delivery Support leadership and client teams in workstreams Gradually assume responsibility for managing workstreams largely independently Support client meetings and workshops to achieve project objectives Contribute to...

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...