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Web alapú vállalatirányítási rendszer fejlesztése...

WHAT YOU CAN EXPECT IN THIS ROLE (IN SENTENCES)   You will support the daily administrative and operational tasks connected to MOL’s fuel export–import processes. You will cooperate with the Group Fuels Trading team and other internal stakeholders while learning the fundamentals of international...

• Laravel alapú belső rendszerek fejlesztése és üzemeltetése
• Backend funkciók tervezése, implementálása és optimalizálása
• API-k fejlesztése és integrálása
• Együttműködés a frontend csapattal

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team

• Operation, maintenance and scaling of database platforms handling terabytes of data
• Design of scalable, reliable database architectures for different workloads and availability requirements
• Support and optimization of databases including PostgreSQL on AWS RDS, ClickHouse, and YugabyteDB

Lead Enterprise Data Architecture design: help clients modernize complex system landscapes spanning multiple solutions (e.g., MDM, CRM, ERP, Cloud DWH) that need to be integrated. You will work with senior client stakeholders to design enterprise level architecture, pragmatic and enforceable...

• Analyze quality, usage, and diagnostic data from customer vehicles in the field
• Identify product issues, usage challenges, and opportunities to improve the customer experience
• Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

• Define target architectures and roadmaps across AI & Data platforms that are aligned with our customers' business, IT and security requirements
• Translate between the worlds of engineering, business, IT and operations, making sure everyone ends up with the same picture

• Design, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming).
• Develop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture.

How will robots collaborate with humans in the future? We develop intelligent systems that understand language, perceive their environment, interpret situations, and act autonomously in the physical world. In our team, we combine Foundation Models, Agentic AI, Computer Vision, and Robotics to...

Support and deliver data driven solutions: from problem framing and feasibility assessment to model development, validation, deployment, and post-go-live monitoring....

• Develop and specify cryptographic communication protocols
• Design cryptographic systems, such as key management and multi-device synchronization
• Lead Threema's migration to quantum-safe cryptography, together with the cryptography researchers at IBM Research

Where you belong: Where you belong: ...

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• 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.

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols