Data science állás, munka

• building and maintaining strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities
• collaborating with product managers, data scientists and engineers to translate client needs into actionable AI solutions

• Lead end-to-end delivery of Cloud and AI enablement programmes, managing timelines, risks, and resources.
• Act as the subject matter expert for Cloud and AI solutions, providing guidance to technical and non-technical stakeholders.

• Üzleti igények felmérése, elemzése és strukturált dokumentálása — a megrendelőktől a fejlesztőkig érthető formában
• IT megoldások, integrációk és rendszerkomponensek tervezése, funkcionális specifikációja (ERP, treasury, ingatlankezelő rendszerek, egyedi fejlesztések)

• Projekttervezés és erőforrás-menedzsment: biztosítod, hogy minden projekt időben, költséghatékonyan és a megfelelő kapacitással valósuljon meg.
• Követelmények kezelése és priorizálása: ügyféligények strukturált feldolgozása és nyomon követése.

Shape engineering strategy with broad organizational impact, influencing long-term architectural direction across multiple teams and products. Drive platform evolution, identifying common pain points and leading scalable, reusable solutions across systems. Engage in deep architectural discussions,...

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...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Lead a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud. Provide mentoring and technical support to junior and medium teammates. Act as a trusted advisor to clients. Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI...

Architecting complex AWS infrastructures and zero-day compliant landing zones Understanding customers’ business problems and providing technology consulting to identify the best-fit solution Owning the end-to-end solution as a key decision-maker and driving the delivery team Describing...