Top Machine Learning Jobs in Czechia
The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.
The Engineering Manager in AI/ML will lead a team of engineers, focusing on product delivery, team development, and research in AI/ML technologies. Responsibilities include managing workflows, planning tasks, and ensuring timely delivery of solutions, while also engaging in architecture and scaling of production ML services.
As a Senior Product Manager at Cin7, you will engage with customers, analyze market needs, define product strategies, oversee feature development, track performance metrics, and lead go-to-market activities for AI/ML technology solutions.
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 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 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 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.
As a Staff Engineer, you will enhance web tools for utility companies to manage risks related to climate change, focusing on scalability and performance. You will solve technical challenges, lead cross-team initiatives, define coding standards, and mentor other engineers while driving impactful technology decisions for business needs.
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 Senior Data Scientist will lead data science projects, design and implement machine learning models, collaborate with stakeholders to derive actionable strategies from data, and mentor junior team members to enhance team capabilities.
The role involves developing and enhancing AI features, improving ML research and quality of existing solutions, and integrating diverse LLM providers. The engineer will lead technical projects, build high-quality services, and mentor team members, focusing on AI's impact on product management processes.
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 member of the AI team, you will develop and enhance machine learning functionalities to support product management practices, improve quality and accuracy of solutions, and enable data-driven decision-making. You will work across diverse LLM providers, integrate ML capabilities, and collaborate with various product teams to create flexible, impactful solutions.
Seeking an experienced Machine Learning Engineer to join the AI team at a leading product management platform. Responsibilities include developing AI features, integrating ML capabilities, and ensuring data flows seamlessly. Required skills include Python proficiency and expertise in various frameworks and tools.
As Lead AI Researcher at Superside, you will conduct advanced deep learning research, innovate within image and video generation models, and engineer machine learning solutions for ad analysis, collaborating with cross-functional teams to enhance AI capabilities in the SuperAds platform.
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