Top Artificial Intelligence Jobs in Hungary

As an AI Implementation Specialist, your role is to build and deploy AI agents, collaborate with teams, and improve automation solutions to enhance operational efficiency.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Lead manufacturing and supply operations in European hubs, ensuring service delivery and quality processes while managing large teams and relationships across departments.

The QMS Solution Business Expert drives quality transformation via process design and digitalization in the M&S Quality Digital Solutions team, ensuring compliance and efficient use of Quality Management Systems across projects.

The Regional Technical Director leads the PMC technical team, drives growth through product development, and ensures safety and compliance with corporate policies.

The role involves leading digital transformation in quality operations, designing compliant solutions, managing projects, and ensuring data quality and compliance in pharmaceutical environments.

As a Senior IT Manager, oversee technology initiatives, digital transformation, and IT services while collaborating across teams and managing stakeholder relationships.

Lead design and implementation of AI and computer vision algorithms for robotics using ROS. Consult on system architectures, perform research, translate imaging algorithms to robotics platforms, and develop tools for production AI/ML and ROS deployments.

As a Global HR Content Specialist, you'll curate and optimize HR knowledge content in ServiceNow, ensuring accuracy and alignment with global standards while enhancing self-service solutions.

Lead design, build, and deploy scalable microservices and AI-driven contact automation for the Wise Assistant. Own intent detection, contact pipelines, routing logic, integrations with LLMs and AI agents, performance optimization, and mentor engineers to improve customer support automation.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

Develop and maintain automation frameworks for IMS system verification, utilizing cloud-native environments and Python for building tools and services.

Lead implementation of AI solutions, manage vendor relationships and compliance, conduct market research, and evaluate data privacy regulations.

Develop and support cloud-based big data tooling and analytics for Sophos AI, focusing on ML systems and using Agile methodologies. Implement CI/CD and operational monitoring for AI systems.

As a Senior AI Engineer, you'll architect and deploy AI solutions on GCP, transform AI experiments to production, and conduct training sessions.

Develop expertise in imaging science, AI, and ROS, participate in product development, lead architecture discussions, and optimize algorithms for robotics applications.

Responsible for testing data and AI solutions through manual and automation methods, developing test cases, executing tests, and collaborating with project teams to ensure solution effectiveness.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Seeking a Senior Data Scientist with 5 years of experience in AI/ML to lead projects, interact with clients, and mentor teams. Requires strong technical skills and a product-oriented mindset.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Software Engineer will design, develop, and deploy ML and LLM-based systems, collaborating with teams to enhance AI platform services.