Python állás, munka

• AI-alapú termékeink és backend rendszereink fejlesztése, karbantartása
• API-k (FastAPI, Django REST) tervezése és implementálása
• Adatbázis-struktúrák és architektúrák kialakítása (PostgreSQL, ORM-ek)
• Adatbázis-tervezés és optimalizálás (SQL / NoSQL)

• Az üzleti alkalmazások fejlesztéséhez, kiadáskezeléséhez és üzemeltetéséhez kapcsolódó feladatok automatizálása
• Szoftverfejlesztési folyamatok automatizálása, kódminőség javítása, a fejlesztő csapatok támogatása
• Monitoring rendszer fejlesztése, hibakeresése és javítása

• Work closely with internal project teams, customers, and partners, acting as the primary technical point of contact for assigned engagements
• Own and lead technical project planning for assigned scope, including estimations, feasibility assessments, dependencies, and risks

In this role, you will contribute to the development of ESO's web platforms as Adobe Experience Manager (AEM) is introduced as the future core Content Management System. As part of ESO's Digital Communications team, you will help shape the technical implementation of a modern CMS landscape that...

INTERNSHIP IN MACHINE LEARNING (M/F) –%Implementing & Evaluating new ML Models for Sheet Metal Forming In this internship, you will have the opportunity to review, implement, and evaluate the latest machine learningmodels in the realm of process engineering and manufacturing. The nature of this...

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Develop and maintain a proprietary trading system within a high-performance crypto finance environment.
• Implement technical specifications end-to-end, covering both backend Python components and frontend interfaces.

• Exciting research opportunities: Be part of an internship (minimum 5 months) that makes a real-world impact.
• Expert mentorship: Collaborate with a diverse, international team of researchers, engineers, and application experts, guided by PhD-level mentors.

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...