Top Artificial Intelligence Jobs in Budapest

Manage and implement digital quality solutions while ensuring compliance with quality standards in pharmaceutical manufacturing and supply chain processes. Lead projects, support user adoption, and ensure effective use of digital tools across organizations.

As a Senior Software Engineer, you will lead the design and development of AI-powered automation solutions, optimizing customer support systems and mentoring junior engineers.

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

Lead the product strategy for AML screening and agentic AI at SEON. Collaborate with engineering teams, mentor junior product managers, and guide executive leadership on market positioning and compliance requirements.

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.

The AI Platform Engineer will configure and evolve enterprise AI platforms, develop APIs, ensure reliability of AI services, and support CI/CD processes.

The AI Solution Engineer will implement and design AI solutions, translating opportunities into technical designs and ensuring alignment with enterprise standards while coordinating between stakeholders.

The Senior Data Scientist leads data science projects, engages with clients to define technical requirements, and integrates AI/ML solutions while mentoring the team.

Design, build, and ship production retrieval systems for AI applications, owning retrieval architecture decisions and collaborating with cross-functional teams.

The Senior AI/ML Platform Engineer will build CI/CD workflows, design operational standards for AI services, and collaborate with teams to productionize AI capabilities.

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

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.

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

The Senior AI Engineer will design and implement core AI systems for the Compliance in a Box platform, collaborating with cross-functional teams and ensuring performance and quality of AI agents.

The Supply Chain AI Specialist will develop AI/ML solutions to enhance supply chain performance, including forecasting models and optimization solutions, while collaborating with IT and business stakeholders.

The role involves designing and building production-grade AWS-native AI/ML infrastructure, collaborating with various engineering teams, and establishing operational standards for AI/ML systems.

The AI Software Developer will create AI-driven applications, collaborate with teams, analyze requirements, and design scalable products to solve real-world problems.

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

This role involves owning the architecture and delivery of LLM systems, optimizing ML workloads, mentoring team members, and designing AI solutions tailored to client needs.

The Back-End Engineer, AI develops robust backend solutions using AI tools, collaborates with teams, and ensures high-quality product delivery while maintaining coding standards and performance optimization.

The Senior Software Engineer - AI will design and develop AI-driven applications, integrate machine learning models, and collaborate with cross-functional teams to implement intelligent features for business challenges.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The role involves designing authentication flows for AI agents, building secure token systems, and creating high-performance server-side components while collaborating with frontend teams and improving system performance.

The Principal Solutions Engineer will lead technical sales, engineer AI solutions, present to executives, and advocate for customers' needs, leveraging extensive AI knowledge.