Prompt engineer állás, munka

• Az igénylő terület által megfogalmazott üzleti specifikáció alapján műszaki követelmény specifikáció véglegesítése, nem funkcionális követelmények készítése.
• Adatkörök, interfészek modellezése.

• BI felületek fejlesztése: üzleti igények alapján Power BI riportok és dashboardok készítése (DAX, Power Query).
• Adattárház építés: Analysis Services (SSAS) adatbázisok tervezése, optimalizálása és üzemeltetése.

• A pozíció a Kontrolling osztályvezetőnek jelent, szorosan együttműködve az IT-n dolgozó adatmérnökökkel 
• Meglévő és új Power BI riportok, dashboardok, fejlesztése és optimalizálása 
• Részvétel üzleti folyamatok optimalizálásában, ezek támogatása adatokkal, adhoc és automata riportokkal 

• collaborate on the design and development of ML-based applications and its backend components;
• help to select the most applicable solutions for a business problem;
• write clean, efficient, and well-documented code;
• contribute to our MLOps processes;

• Take ownership of small to medium-scale, non-complex inorganic projects or specific project components across Upstream, Downstream, and Non-core business areas.
• Ensure projects are delivered on time and within budget, while actively managing associated risks.

• Az üzletág tagjai által használt megoldások és alkalmazások támogatása
• Helyszíni IT támogatás nyújtása a budapesti gyártó leányvállalat számára
• Kapcsolattartás, együttműködés az üzleti és meglévő projektcsapatokkal új alkalmazások/megoldások kapcsán

Design and implement the frontend from UI mockups to Figma designs, evaluating feasibility, complexity, and implementation impact for optimal user experience. Own and deliver well-defined frontend stories independently, with a strong understanding of architecture, frameworks, and tools. Drive code...

Collaborate & Innovate: Partner with Technical Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI solutions....

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with C#, .Net and Angular Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by...

Architect and deliver secure, high-performance microservices primarily on AWS using infrastructure-as-code tools such as Terraform and AWS CDK Deliver end-to-end software solutions in Python and Node.js, including development, deployment, monitoring, and production support Set technical direction...

Lead the design and evolution of frontend architecture across multiple teams, ensuring consistency, performance, and scalability. Influence and define the frontend technology stack, with a focus on Angular, TypeScript, and modern web standards. Act as a technical consultant to stakeholders,...

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.