Top Artificial Intelligence Jobs in Budapest

The Senior Data Scientist will own AI projects, prototype LLM solutions, evaluate AI performance, and mentor junior data scientists.

As a Senior Software Engineer, you'll lead design and development of scalable components for the Wise Assistant, innovate with AI, and mentor engineers.

The role focuses on creating and implementing Data & AI strategies, advising executives, and managing projects to drive AI adoption and business growth.

Lead a senior engineering team to build production LLM systems at Wise, shaping the AI technical vision and collaborating across functions.

As an AI Solutions Architect, you'll lead technological advancements, innovate solutions, and mentor staff within Ericsson's technical domain.

As the Finance AI & Digital Transformation Senior Manager, you will lead the innovation in finance through AI solutions, collaborate with stakeholders, manage product ownership, and drive adoption of digital tools.

The AI Platform Architect leads enterprise architecture for cloud and hybrid platforms, defines API and data governance strategies, oversees AI/ML infrastructure, and mentors engineering teams while ensuring compliance and security.

The Architect will design and build AI products, manage full product lifecycles, and lead teams in creating innovative software solutions.

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 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.

Perform remote data tasks to improve AI-generated Hungarian content, including data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

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.

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 a Senior Quantitative Analyst, you'll develop credit risk models, perform econometric analyses, conduct data analyses, and ensure compliance with regulatory requirements while collaborating globally.

The Senior Product Manager, AI at ABBYY will define, build, and scale AI-powered products, ensuring successful delivery across the product lifecycle while collaborating with various teams to drive innovation and business growth.

The AI Digital Content & Communications Manager will oversee product vision, manage content operations, define metrics, collaborate with teams, and enhance user experience for digital platforms.

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

The AI Systems & Data Engineer will handle data migration, build AI solutions, integrate systems, and automate workflows for HR transformation.

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.

The Principal Data & AI Consultant leads data-related projects, manages revenue targets, supports sales efforts, and coordinates with teams to deliver integrated AI solutions while ensuring client satisfaction and account growth.

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

The Engineering Manager will oversee a team developing AI and machine learning platforms, collaborating with Product Managers and ensuring technical direction, growth, and best practices are followed in engineering.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.