Python developer állás, munka

• learning state‑of‑the‑art new technologies
• acting as a team member in BI‑focused engagements

• részvétel a teljes egyetemi adatvagyon központosítását célzó, az egyetem által működtetett adattárház továbbfejlesztésében,
• adattisztítás módszertanának fejlesztése, adatmodellek létrehozása, adatkapcsolatok kialakítása, sématervezés,

• Vállalati szintű adatfeldolgozó (ETL/ELT) folyamatok tervezése és megvalósítása
• Adatintegrációs megoldások fejlesztése heterogén rendszerek között
• Adatmodellek kialakítása, optimalizálása és dokumentálása
• Adatminőségi kontrollok és monitoring mechanizmusok implementálása

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• AI-eszközök bevezetésében, integrációjában és üzleti környezetbe történő beágyazásában való aktív közreműködés
• Üzleti igények feltérképezése, valamint AI use case-ek üzleti és technológiai megvalósíthatóságának értékelése

• Discovery & Shaping: Lead stakeholder workshops, translate business needs into MVP scopes, and map out scalable implementation roadmaps.
• End-to-End Architecture: Design and document (C4 diagrams, API contracts) robust cloud architectures covering application, data, and LLM layers.

• Apply Adobe Brand Visibility recommendations to improve brand consistency, visibility, and content quality.
• Translate insights into concrete changes to content, metadata, and digital experiences.
• Build tools and automations that streamline ingestion, onboarding, and application of ABV outputs.

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

• Single point of contact for the research faculty and group leaders on specialist IT, data and computing needs
• Assessment of research IT needs and their translation into actionable demands
• Onboarding and key user management: making sure that our researchers can work productively from day one

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

• You design data pipelines for ingestion, curation, pseudonymization, and versioning.
• Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
• You set up experiment tracking and artifact registries for model variants.

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

Acting as a senior technical contributor within automated regression testing and sharing expertise with colleagues across the Test & Verification team....

• 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.

Independently apply advanced knowledge of security architecture to guide software engineers in building secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

• Define test strategies for new features, determining what to cover manually and what to automate.
• Conduct detailed testing of new features, considering how editors will use them. This includes judgment on audio processing quality and fidelity.

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....