Top Machine Learning Jobs in Hungary

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

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

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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.

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

The Director of Operations Research leads a team in supply chain optimization, using data-driven insights to enhance efficiency and guest experience in retail operations.

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.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

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.

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.

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

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 Customer Contact Management Analyst is responsible for managing customer inquiries, coordinating case investigations, and ensuring compliance with claims policies, while monitoring operational reports and facilitating resolutions.

Lead the transformation of IT support into a modern, AI-enhanced experience by integrating automation, improving user experience, and driving continuous improvements.

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

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

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

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

The S&T Cadet role involves training in product development, simulation and modeling, and digital technology to innovate and improve PPG's coatings. Candidates should have backgrounds in materials science or engineering, and must publish scientific work before graduation.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.