Top Machine Learning Jobs in Budapest

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

The Lead Analyst will drive AI integration within CSIS by identifying opportunities, performing data analysis, evaluating AI tools, leading projects, and managing change to enhance operational efficiency.

The role involves data collection, evaluation, annotation, pairwise comparisons, and tagging across various content types while enforcing strict use regulations against AI tools.

As a Senior Machine Learning Engineer, you will develop AI agents for healthcare workflows, apply advanced ML technologies, and collaborate across teams to enhance patient communication and experience.

Responsible for developing and optimizing chatbot functionality using NLP and machine learning, enhancing customer experience and automations.

Develop partnerships to drive business growth across EMEA by identifying and onboarding new GTM partners. Collaborate cross-functionally to create partner-led strategies and value propositions while aligning with sales targets.

Manage IT projects, mitigate risks, track resources and budgets, communicate with stakeholders, and lead agile development processes while ensuring stakeholder satisfaction.

As an AI Engineer at Convergent AI, you will build adaptive learning systems, design architectures, and optimize real-time media interactions for effective training simulations.

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.

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

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.

As a Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing ML models and developing benchmarks, focusing on high-performance solutions for clients.

Lead business development at Toloka AI, targeting Big Tech and startups. Drive growth through client relationships, commercial discussions, and project structuring.

Manage order validation, resolve issues related to customers and deliveries, and contribute to process improvements while collaborating with stakeholders.

Lead AI-driven transformation in financial services by defining strategies, engaging with C-level stakeholders, and overseeing the development of Generative AI solutions. Enhance AI offerings and ensure integration into banking ecosystems while guiding project execution and promoting innovative solutions.

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

As a Machine Learning Engineer at Hawk-Eye Innovations, you will integrate ML features, run models on data streams, and lead R&D initiatives.

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

Lead design of managed service solutions for enterprise clients, align IT strategies with business objectives, develop roadmaps, and optimize IT operations.

Lead Machine Learning Engineering projects using Databricks. Collaborate on AI/ML solutions, engage with clients, and drive innovation.