Top Machine Learning Jobs in Hungary

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.

Manage end-to-end big data, cloud, and machine learning projects, ensuring success by meeting objectives, budget, and deadlines while enhancing customer satisfaction.

The Team Manager for Enterprise AI will lead an international team, manage complex projects, and drive innovation in AI and technology solutions for Evonik.

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

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 developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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

The AI Solution Architect will design innovative AI solutions on Google Cloud, lead pre-sales efforts, and collaborate with various teams to ensure successful project delivery and client satisfaction.

The Regional Technical Director leads the PMC technical team, drives growth through product development, and ensures safety and compliance with corporate policies.

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

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

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.

Lead enterprise AI and data strategy, design GenAI solutions for banking, guide C-level stakeholders, define product vision and roadmaps, oversee implementation, and enhance AI offerings and go-to-market strategies.

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

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

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

The AI Solution Architect will design AI and ML solutions, oversee pre-sales processes, create project estimates, and validate proposals, ensuring technical accuracy and client engagement.

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.

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

The role involves developing and maintaining ML operation services, ensuring quality integration and support for various Sophos products, and adopting Agile methodologies for software development.

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.