Top Machine Learning Jobs in Hamburg
The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, oversee the building of infrastructure for LLMs, implement validation procedures, and optimize models for performance.
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 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.
As a Solutions Engineer at Cloudera, you will lead the technical sales process, design customer solutions using Cloudera technologies, and demonstrate product value to ensure customer success. You will collaborate with account managers, advocate for customer needs, and engage in external publicity activities.
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.
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 Product Manager at Buynomics, you will work with engineering teams to drive product development in data science, collaborate on the product roadmap, translate data science concepts into user-friendly features, and manage product requirements. You will also conduct user research, manage the product backlog, and monitor success metrics for data-related initiatives.
The Technical Product Manager will lead the development of the Analytics Application, translating business requirements into technical specifications, managing the product lifecycle, and collaborating with engineering teams to ensure feature implementation. The role requires a strong understanding of data analysis and visualization and demands effective communication with stakeholders while monitoring product performance metrics.
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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