Top Artificial Intelligence Jobs in Budapest
As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.
The Project Manager will oversee company-wide AI projects, ensuring alignment and efficient execution, while reporting directly to the Founder. Responsibilities include strategic decision support, task prioritization, team supervision, and stakeholder management, aimed at achieving the company's AI goals.
The GBS AI Engineer will develop and implement innovative AI solutions across various GBS Shared Services workstreams to improve efficiency and operational effectiveness. Responsibilities include designing AI use cases, evaluating business processes, implementing machine learning models, and facilitating training on AI technologies.
The Application Developer will design, develop, and support applications that enhance business success, utilizing SQL and Python. Responsibilities include gathering requirements, optimizing AI model performance, integrating APIs, and ensuring applications meet business needs. Collaboration and communication with teams and leadership are key for project effectiveness.
The Regional Reporting Manager at ABBYY will oversee local accounting, tax compliance, manage audits, and ensure financial statements are prepared according to local regulations. Responsibilities include coordinating with external auditors, maintaining relationships with banks, and authorizing vendor payments, while ensuring adherence to local compliance standards.
The Account Manager at Arista Networks will build and grow sales across regional accounts, exceed sales objectives, identify major IT spending opportunities, and utilize a consultative selling approach. The role involves presentations to decision-makers and collaboration with the Systems Engineering team for client solutions.
The AI Developer will design, develop, and implement software systems with a focus on machine learning models, particularly in natural language processing (NLP). Responsibilities include analyzing user needs, maintaining software, and presenting solutions to stakeholders. Requires strong Python proficiency and experience with Azure or AWS.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.
As a Tech Lead at Token Metrics, you will lead and mentor a team of full-stack developers, architect scalable solutions, drive best practices in development, and collaborate on technical requirements. You'll ensure high code quality and contribute to system design, enhancing our cryptocurrency analytics platform.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
The Course Development Engineer will create and improve technical courses related to Data and AI, ensuring quality and alignment with learning objectives while collaborating with course review engineers.
The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
The Sr. Course Development Engineer will create high-quality technical courses, mentor new hires, and collaborate with review engineers to enhance course content and effectiveness.
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