Top Machine Learning Jobs in Budapest

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 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.

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

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.

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 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.

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

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

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.

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.

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

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

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.

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

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.

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

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 an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The Senior ML Engineer will build and optimize MLOps pipelines, deploy and monitor ML models, and collaborate with Data Scientists and Engineering teams to enhance ML workflows.

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.