Top Artificial Intelligence Jobs in Budapest

The Customer Contact Management Analyst is responsible for managing customer inquiries, coordinating case investigations, and ensuring compliance with claims policies, while monitoring operational reports and facilitating resolutions.

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.

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

Greif seeks an AI Engineer with 2-4 years of experience in GenAI solutions. Responsibilities include developing PoCs, managing projects, and integrating AI agents into business platforms using Agile methodology.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Lead the analytics and optimization strategy for the Conversational AI portfolio, driving improvements in AI performance and business outcomes through comprehensive metrics and cross-functional collaboration.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Welo Data seeks contributors for AI annotation and evaluation. Responsibilities include data collection, enhancing models, and working with global clients.

The Staff Software Engineer will develop microservices for a SaaS platform, lead AI strategy, mentor teams, and drive architecture decisions.

The AI Senior Product Manager will lead AI product strategy, manage the AI roadmap, and collaborate with cross-functional teams to deliver innovative solutions.

Lead the development of complex data pipelines and AI/ML systems, manage technical objectives, mentor junior engineers, and drive architectural decisions.

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

The AI Development Engineer develops and integrates AI capabilities into applications, focusing on AI-driven features, model deployment, data processing, and API development.

The AI Development Engineer is responsible for integrating AI capabilities into applications, developing AI-driven features, and collaborating across teams to enhance user experiences.

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

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.