Top Artificial Intelligence Jobs in Hungary

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

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 role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

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

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.

As a Senior Software Engineer, you'll lead the design and development of automation solutions, particularly focused on AI, microservices, and customer support automation.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Global Category Manager will lead strategic sourcing and supplier management for AI-related products, ensuring alignment between procurement and AI program objectives while driving innovation and cost efficiency.

As a Senior Software Engineer, you'll design and implement backend services, ensuring stability, performance, and security for AI-powered products, while collaborating across teams and mentoring others.

The Data & AI Training and Engagement Leader develops and delivers training programs for data literacy and AI adoption, ensuring effective engagement and knowledge sharing among employees.

As a Legal Engineer, you'll design AI-powered legal workflows, collaborate with clients, and support product improvements in a fast-paced environment.

Manage a team to drive the development of Cloudera's AI and machine learning platform, collaborating with product managers and ensuring team growth and effective practices.

The Senior Frontend Engineer will design and develop a leading AI/ML platform, collaborating closely with various teams to enhance functionality and performance.

Drive product strategy for agentic AI systems, ensuring compliance with the EU AI Act, conducting user research, and collaborating with AI teams.

This role involves driving sales for Libra's AI platform in legal sectors, managing the sales cycle, building relationships, and collaborating with internal teams to meet client needs.

As an Account Executive, manage the full sales cycle for SMB clients, drive sales and adoption of legal AI solutions, and collaborate across teams to ensure customer success.

As an AI Engineer, you'll lead the development of features from design to production, focusing on AI-powered tools that streamline travel business operations. You'll work closely with product teams to address user needs while mentoring others and ensuring system reliability.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

As a Manager Legal Engineering, you will design AI-powered solutions for legal workflows, collaborate with clients and internal teams, and drive product development and customer success.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

Lead complex projects focused on commercial excellence and performance management using AI, driving improvements in sales effectiveness and decision-making.

Lead AI/ML architecture discussions and implement large-scale AI solutions. Mentor engineers while influencing technical standards and championing MLOps best practices.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.