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Top Artificial Intelligence Jobs in Hungary
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
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 Support Enablement Manager will create and manage enablement programs for internal Support teams and partners, ensuring they have necessary resources and tools. Responsibilities include designing an enablement strategy, developing training content, and achieving metrics for program success, incorporating AI methodologies where appropriate.
The Enterprise Customer Experience Manager focuses on managing enterprise customer support contracts, ensuring high customer satisfaction and retention through proactive engagement, issue resolution, and advocacy for customer needs within the organization. This role involves tracking customer health metrics and collaborating with support teams to fulfill service obligations and enhance service quality.
The Knowledge & Community Manager at ABBYY will design and manage knowledge-sharing programs to support internal teams and customers. They will implement AI strategies for case deflection and develop community-focused initiatives, collaborating with various teams to enhance knowledge accessibility and content relevance.
The Manager of Incident Response will oversee the development and implementation of an incident response strategy, manage the incident response team, and ensure effective responses to security incidents. This includes collaborating with cross-functional teams, overseeing incident management processes, and enhancing the organization's security posture through training and awareness. Post-incident reviews and reporting on response metrics are also key responsibilities.
The Manager of Recovery and Continuity at ABBYY will develop and implement business continuity and disaster recovery plans, conduct risk assessments, and coordinate with departments on critical business functions. The role involves managing recovery teams during disruptions, organizing drills, providing training, and ensuring compliance with standards.
The Head of Knowledge and Enablement at ABBYY will lead the development and execution of knowledge-sharing and enablement programs to enhance internal and customer success. Responsibilities include creating a knowledge management strategy, overseeing a support team, collaborating on content development, and implementing training programs. The role emphasizes AI methodologies to improve customer interactions and resource accessibility.
As a Senior AI & Data Consultant in the energy sector, you will leverage your expertise to shape Data & AI strategies for energy companies. You will engage with C-level clients, identify business challenges, and drive data-driven solutions while overseeing project implementation and coordinating with delivery teams.
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.
As a B2C Customer Support Engineer at ABBYY, you will resolve customer tickets by troubleshooting technical issues, collaborating with technical teams, and creating knowledge base documents. Strong English skills, along with either remote or hybrid work options, are emphasized.
The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.
The Senior Data Scientist will lead and deliver data science projects, focusing on AI and machine learning solutions. Responsibilities include engaging with clients, providing mentorship, and integrating AI/ML solutions within product offerings while staying updated on industry trends.
The Software Engineer will own areas of product development, building features from system design to testing. Responsibilities include delivering high-quality experiments, collaborating with teams to launch new product features, and influencing engineering culture and processes.
As an AI Software Developer at WorldQuant, you will collaborate with cross-functional teams to design and build scalable AI-driven applications. Responsibilities include gathering requirements, managing product deliverables, and keeping current with AI advancements.
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.
The Advisor roles involve overseeing AI-related projects, ensuring efficient execution across departments, and supporting decision-making for the Founder. Responsibilities include team supervision, tracking project progress, and managing relationships with stakeholders. Key qualifications include extensive experience in AI and project management, along with superior communication skills.
The AI Engineer will develop and optimize workflows for LipSync and FaceSwapping technologies, work with diffusion models, design APIs, and deploy generative AI solutions utilizing containerization and cloud platforms. Responsibilities also include training and customizing models and ensuring seamless integration of AI solutions.
The Generative AI Engineer will develop and optimize workflows using Comfy-UI and Swarm-UI, focusing on diffusion-based models. Responsibilities include LORA training, model fine-tuning, and leveraging tools like PyTorch and Accelerate to achieve high-quality results in AI modeling.
The AI Engineer will focus on generative AI and TTS technologies, including training and deploying models, optimizing inputs for LLMs and image/video generators, and integrating APIs into applications. The role requires expertise in containerization and cloud deployment for scalable AI solutions.
Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.
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 Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.
As an AI Researcher, you will develop and implement machine learning algorithms for aquaculture, plan experiments, and manage model testing processes. You will document POCs, lead long-term research, and assist in recruiting talent, while staying updated on AI advancements.
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