Top Artificial Intelligence Jobs in Budapest

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.

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

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.

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

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

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

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.

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.

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.

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

We seek a Senior Python Engineer to manage technical objectives, lead development on data pipelines and AI/ML systems, and mentor junior engineers.

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

The Senior AI/ML Engineer will design and implement AI/ML solutions, lead project discussions, mentor junior staff, and provide technical guidance in a cloud environment.

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 Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

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.

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.

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

The role involves collaborating with teams to design and build AI-driven applications, managing product deliverables, and addressing real-world problems.

The Total Rewards Analyst provides analytical support for compensation and benefits data, leveraging AI insights to inform strategic HR decisions and improve workforce rewards using various reporting tools.

The Senior Solutions Architect (AI) designs solutions, engages with customers, supports sales efforts, and bridges the gap between sales and delivery within AI and data science projects.