Top Machine Learning Jobs in Hungary

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Data Engineer will design and manage data workflows, develop AI-driven solutions, and maintain Snowflake data pipelines, improving analytics and reporting processes.

The Senior Software Engineer will enhance fraud investigations by developing automated solutions, optimizing workflows, and using AI technology to improve user experience and operational efficiency.

Lead the development of a strategic analytics roadmap for R&D Procurement, translating business needs into data strategies and fostering team excellence.

The S&T Cadet role involves training in product development, simulation, and digital technology in the coating innovation sector, focusing on advanced product and process design through collaboration and research.

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 Applied Scientist, you'll design and ship LLM-powered products, collaborating with teams to develop AI solutions while ensuring safety and quality through evaluation and experimentation.

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

The Senior Applied Data Scientist will develop and validate learner modeling, ensuring outputs are trustworthy and ready for product use, while collaborating with various teams.

The role involves leading the design of AI-enabled platforms, improving AI solutions, setting MLOps standards, and coaching engineers. It focuses on the integration of AI in secure, scalable systems for enterprise solutions.

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

The Modeling Engineer will develop finite element models for structural, thermal, and materials analyses, run simulations, collaborate with teams, and provide design guidance and documentation.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Factory Software Engineer will implement technology solutions for data integration, collaborate with stakeholders, and ensure delivery of high-quality software solutions.

Responsible for project delivery within an IT solution area, managing teams, ensuring customer satisfaction, and improving team dynamics.

Responsible for leading technical execution of AI solutions, ensuring quality and readiness. Oversee engineering practices and collaborate with teams for integration and deployment.

The AI Scientist analyzes complex datasets, develops AI-driven methodologies, collaborates on research projects, and communicates insights in healthcare.

The Senior AI & Data Consultant will design AI strategies, advise executives, oversee AI tool adoption, and help grow AI services, primarily within the banking sector.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead the modernization of C++ Computer Vision library, design algorithms for Intelligent Document Processing, and mentor engineers.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

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.

This role involves leading AI projects, mentoring engineers, and driving technology transformation by delivering scalable AI solutions, collaborating with various teams, and ensuring robust, secure solutions.

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