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.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

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

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

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

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.

Lead design and implementation of AI and computer vision algorithms for robotics using ROS. Consult on system architectures, perform research, translate imaging algorithms to robotics platforms, and develop tools for production AI/ML and ROS deployments.

As a Backend Engineer, you'll lead technical problem-solving in data engineering and machine learning, improving risk assessment tools and features.

The Senior Machine Learning Engineer will develop and optimize computer vision models, lead ML project implementations, and maintain production systems, focusing on multimodal understanding and collaboration across teams.

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

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.

Lead initiatives for ERP digital transformation, collaborating with stakeholders, managing projects, and leveraging emerging technologies like AI to enhance workflows.

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.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

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.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.