Data állások VI. kerületben főiskolai végzettséggel

• Set up and optimize digital campaigns within multiple platforms including Google, Meta (FB/IG), Twitter, TikTok, LinkedIn & more...   • Own full-funnel digital planning, budgeting & targeting; plan the full consumer journey  • Provide reporting, analysis, and recommendations for improving...

• Capture and process customer orders accurately in the ERP system, including manual order creation (email, fax, mass upload).
• Review and validate orders via OCR tools, resolve errors and discrepancies.

• Act as primary HR point of contact and HR advisor for your managers
• Collaborate with Recruitment team in ensuring efficient recruitment & selection processes to provide high quality workforce on time

• Kapcsolatot tartasz a kiemelt ügyfelekkel, vezeted vagy támogatod a státuszmeetingeket.
• Követed a nyitott ügyeket, vállalásokat, határidőket; az ügyféligényeket feladatokká fordítod.
• Figyeled, hogy az ügyfél azt kapja-e, amire szüksége van

• Új sales house-ok, médiapartnerek aktív felkutatása és üzleti együttműködések kialakítása
• Rendszeres napi/heti/havi kapcsolattartás a bankokkal, biztosítókkal és egyéb üzletági partnerekkel
• Partneri üzleti igények feltérképezése, ajánlat készítése, egyeztetés, majd megrendelések összeállítása

• Drive UX and conversion rate optimisation (CRO) initiatives to improve user journeys and website performance
• Analyse webpage performance data and translate insights into actionable recommendations
• Provide input on content and design improvements based on user behaviour and performance metrics

• Manage the full HR administration cycle: contracts, amendments, onboarding and offboarding documentation.
• Ensure accurate employee data management in HR systems and maintain HR files in line with compliance requirements.

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...