Data engineer állások XXII. kerületben (it programozás, fejlesztés)

Deliver end-to-end Hardware/Software solutions bridging the gap between the world and our accelerators. Build and operate real-time, distributed compute frameworks and runtimes to deliver planet-scale inference for LLMs and advanced AI applications at ultra-low latency, optimized for heterogeneous...

Identify customer needs, qualify opportunities, provide technical consultancy, deliver on-site and web-based presentations for the company’s staff and key customers Prepare solution designs, RFP responses, competitive comparisons and technical documentation for various needs Leading role in...

Design, develop, and execute test plans, cases, and scripts for Odoo modules including Finance, Inventory, Sales, and Procurement. Conduct functional, integration, regression, and user acceptance testing. Validate Odoo customizations, configurations, and third-party integrations. Ensure accuracy of...

Join a client service team for 8-10 weeks, contributing to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy and create actionable plans Work alongside clients and McKinsey colleagues combining research, data analysis, interviews, and brainstorming to...

• IT-adatelemzés
• Data scientist feladatok
• Csapatmunka, projektfeladatok
• Alkalmazásfejlesztés
• Feladatok automatizálása
• Gépi tanulási modellek elkészítése

Communication with Stakeholders for requirements gathering Business analysis, functional design, data structures design, prototyping system Business logic description, use cases, user stories, description of use cases for gaming equipment Support customers during acceptance testing and rollout of...

Conduct deep-dive analysis of operational workflows to identify bottlenecks and improvement opportunities Lead requirements gathering, business analysis, and documentation of functional and non-functional requirements Translate business needs into clear product specifications, user stories, and...

Define and improve metrics reflecting product performance, service quality, and operational efficiency Analyze client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance Work on problems related to attrition / churn, customer behavior,...