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• Saját fejlesztésű, nagyvállalati keretrendszerünk megismerése és továbbfejlesztése
• Komplex üzleti logikák leképezése és implementálása a hazai közigazgatás és egészségügy számára
• Felhasználóbarát, webes felületek fejlesztése (Vaadin fókusszal)
• Aktív részvétel a teljes fejlesztési életciklusban

Enable and support market-led Data Management Risk assessments across agreed functions, systems or data domains, ensuring a consistent approach to evidence review, gap identification and remediation planning....

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

Where you belong: Where you belong: ...

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

Senior Data Engineer SQL Shape trusted banking data with expert SQL, scalable pipelines, and enterprise-grade modelling. Senior Data Engineer SQL Job description: SQL Development & Data Modelling Develop and optimize complex SQL transformations supporting analytics, reporting, and...

Design, develop, and maintain software platforms, internal tools, and enabling infrastructure for regulated computational pathology products, ensuring solutions are scalable, maintainable, and suitable for controlled development and deployment environments....

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

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

You own as project lead components of our AI software platforms powering onboard intelligence, multimodality and agentic AI for state-of-the-art AI features in current and next-gen BMW vehicles....

Medical Research Engineer 80 - 100 % (w/m/d) For more than 40 years, Hamilton Medical has shaped the future of mechanical ventilation. We develop Intelligent Ventilation solutions that support clinicians in critical moments. Our Hamilton ventilators are used in intensive care units, during...

The mathematics behind the models. A model means exactly one thing, and it still means that after it reaches a solver. The algebra underneath is yours, and so is the call on what the engine should be able to express next and what it should refuse....

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

• 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.

Senior Specialist Data Science The Nestlé Group is the world's largest food and beverage company with 92.6 billion Swiss Francs in sales in 2019. It is present in 187 countries around the world, has 403 factories and its 291'000 employees are committed to Nestlé's purpose of enhancing quality of...