Top Tech Jobs & Startup Jobs in Hungary

Provide multilingual (English + French) customer support via chat, email, phone and meetings; troubleshoot, configure and deploy visual AI self-checkout systems onsite; document interactions, run regular reporting, contribute knowledge-base articles, and analyze data to improve AI performance. Requires travel for deployments and participation in shift/on-call rotations.

Open application inviting candidates for future roles. Applicants complete screening questions and tests without AI assistance. Applications reviewed monthly; candidates contacted if a suitable role arises.

Manage full employee lifecycle and HR administration globally, process accurate payroll, ensure compliance, maintain HR records, respond to employee inquiries, support on/offboarding, optimize HR processes, assist audits, and participate in HR projects.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Lead regional product and category strategy for Taste appliances across CA EAST. Drive portfolio optimization, product lifecycle, launches, pricing, forecasting, profitability, market insights, and cross-functional collaboration while supporting local markets and developing a commercial specialist.

Manage and grow key customer accounts in Hungary by identifying opportunities, building strategic partnerships, supporting account managers, negotiating vendor status, conducting market analysis, delivering sales forecasts and performance reports, and representing the company on client visits.

Own customer onboarding and implementations, integrate Stuut with ERPs (NetSuite, SAP, Salesforce), write production-quality code and automations, collaborate with Sales and Product, build documentation and internal tools, and travel to client sites to deploy solutions and gather product feedback.

Lead end-to-end technical deployments and integrations of ScorePlay for large clients, build bespoke solutions (using code, APIs, and AI tooling), migrate and operate media archives, run technical workshops, troubleshoot onboarding issues, and collaborate with Delivery, CS, Product and Engineering to standardize playbooks and absorb solutions into the product.

Own technical NetSuite engineering and governance: design, develop, maintain, and troubleshoot SuiteScript customizations, workflows, integrations, and SuiteCloud components. Lead release control, sandbox-to-production promotion, production fixes, platform health monitoring, L3 escalation, and technical documentation. Partner with Finance, Ops, Product, Engineering, and external vendors to translate requirements, reduce technical debt, and implement maintainable solutions while enforcing coding standards and change control.

Design, implement, and evaluate production ML models for ETA, destination, and product estimation using maritime AIS and geospatial features. Build dbt features orchestrated by Airflow, run structured experiments with the kpler-ml framework, log and compare runs in MLflow, monitor model drift, and collaborate with market analysts to prioritize improvements.