Top Machine Learning Jobs in Hungary
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.
As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.
The Data Scientist Lead will develop AI solutions in the pharma R&D domain, focusing on machine learning applications for biomedical data. Responsibilities include building models, analyzing omics data, visualizing results, mentoring junior scientists, and collaborating with cross-functional teams. The role emphasizes innovation and improving drug development processes via AI.
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 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 Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
The Lead Technical Program Manager at Target is responsible for managing high-impact organizational initiatives, aligning product roadmaps, and ensuring timely delivery of goals. This role involves strategic planning, risk mitigation, cross-functional collaboration, and monitoring program health while serving as a technical escalation point.
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.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
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.
As a Lead Engineer, you will design and optimize machine learning solutions for demand forecasting, manage application architecture, conduct training sessions, and collaborate with teams to build solutions based on business needs.
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