Top Artificial Intelligence Jobs in Hungary

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Lead and ship AI-driven product workflows and automations: identify friction, prototype solutions, investigate data and product behavior, collaborate with engineers, validate with clients, and document reproducible tools and improvements to increase delivery speed and quality.

Lead end-to-end data science projects with a product mindset: design, build, deploy and maintain ML/LLM solutions. Engage clients and presales, collaborate cross-functionally, mentor team members, and stay current with AI/ML advances to integrate scalable, production-ready models into products.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

The Senior Data Scientist will own the ML lifecycle, design AI services, implement MLOps practices, and mentor team members in production ML capabilities.

The Senior Product Manager will oversee the Agentic AI Accelerator Platform, driving component development, aligning teams, and ensuring usage for revenue generation.

Provide customer support for brands through social media and email, ensuring prompt responses and engaging service. Flexible hours and remote work.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

Manage AI/ML projects from initiation to completion, ensuring alignment with goals and standards. Lead cross-functional teams, track project metrics, and oversee stakeholder communication and vendor management.

The role involves managing AI/ML project lifecycles, aligning with IT governance, and leading cross-functional teams to ensure project goals are met within budget and schedule.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

The Staff AI Solution Architect will lead the design, development, and support of AI-driven enterprise applications for global functions, ensuring compliance and performance while collaborating with cross-functional teams and stakeholders.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

The AI Solution Engineer translates AI opportunities into solution designs, implements AI use cases, and coordinates with stakeholders to ensure compliance with architectural standards.

The AI Platform Engineer will configure and evolve enterprise AI platforms, develop APIs, ensure reliability of AI services, and support CI/CD processes.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

This role involves owning the architecture and delivery of LLM systems, optimizing ML workloads, mentoring team members, and designing AI solutions tailored to client needs.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.