Top Machine Learning Jobs in Budapest

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.

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.

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

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.

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.

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

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

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

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

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

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 lead projects, provide consultancy in data science and AI, develop internal solutions, and mentor team members while ensuring customer success.

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

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.

Lead and mentor teams on machine learning projects, focusing on computer vision and systems architecture. Drive technical decisions and optimize existing models for performance and reliability.

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

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 Machine Learning Engineer II builds production ML models to detect fraud, collaborates on engineering teams, and improves the commerce protection platform.

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.

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.