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.

As a Senior Software Engineer II - Fraud Risk, you'll develop payment fraud detection systems using machine learning and collaborate with teams to enhance them.

Lead the architecture and management of infrastructure products, ensuring alignment with business goals while mentoring a team of product managers for product development.

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 the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

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

As a Senior Data Scientist, you will build and deploy fraud detection models, collaborate with teams to enhance claim processes, and utilize various data types to improve decision-making and fraud prevention.

The Senior Solutions Architect (AI) designs solutions, engages with customers, supports sales efforts, and bridges the gap between sales and delivery within AI and data science projects.

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 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 the AI transformation in financial services by defining AI solutions, guiding stakeholders, and driving product vision for Generative AI applications.

Manage IT projects, oversee project deliverables, mitigate risks, ensure stakeholder satisfaction, lead agile development, and mentor team members.

As a Software Engineer, you'll design algorithms and develop features for workforce management products, working with large-scale models and optimization techniques in a fast-paced environment.

The Senior Machine Learning Engineer will develop and optimize multimodal understanding models, focusing on computer vision, while leading technical projects and driving architectural decisions for model development.

As a Senior Backend Engineer, you will guide the data engineering and machine learning teams at Wise, tackling complex technical problems and ensuring high-quality data for risk assessments.

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

Lead the design and implementation of Energy Management Systems, align strategies for energy optimization, and ensure integration with digital platforms.

The LLM Innovation Intern will experiment with AI tools, analyze business use cases, propose AI-driven solutions, build prototypes, and present findings.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

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, managing a team, improving solutions, handling customer relationships, and ensuring project alignment with business needs.

The AI Senior Product Manager will lead AI product strategy, manage the AI roadmap, and collaborate with cross-functional teams to deliver innovative solutions.

Lead engineering organizations at Diligent, driving AI-driven product development, cultivating teams, and ensuring ethical implementation of technology.

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

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.