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.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

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.

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.

Manage IT projects by assessing risks, managing stakeholders, and leading teams. Ensure project goals align with business needs and oversee project deliverables.

Lead AI-driven transformation in financial services, guiding C-level stakeholders and driving the end-to-end development of Generative AI solutions, while overseeing project scopes and execution strategies.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Senior Sales Engineer will support technical sales efforts, deliver demos, and provide a consultative role to potential customers, focusing on data labeling solutions for AI systems.

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 Principal AI Engineer will design and deploy AI and Machine Learning solutions, manage projects, and leverage cloud platforms in an Agile environment.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

The Lead Project Manager (Martech) will oversee project delivery, manage multiple teams, and drive client success through strategic leadership, efficient resource management, and agile methodologies.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The AI/ML Engineer will design and implement ML pipelines using Cloudera, optimize retrieval architectures, and manage end-to-end ML infrastructure, focusing on performance and scalability.

Lead the Core & MLOps team to build and maintain the foundational infrastructure for scalable data services, with responsibilities in technical leadership, MLOps excellence, and team management.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

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

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.