Top Machine Learning Jobs in Madrid
The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, focusing on training and integrating AI models, as well as optimizing their performance. This role also involves collaborating with cross-functional teams and ensuring the reliability of the models through robust validation procedures.
The Senior Machine Learning Engineer at Vista Engineering will optimize marketing spend through advanced MLOps and Data Engineering techniques, build new algorithms, collaborate with business partners, and contribute to data product roadmaps.
As a Senior Data Scientist Engineer, you'll design and develop AI solutions, build production-ready ML models, and work on MLOps for deployment and monitoring. You'll analyze data, optimize models, and oversee their deployment in a production environment.
As a Machine Learning Engineer, you will analyze AI trends, develop features for legal applications, create ML/NLP prototypes, enhance models for stability, deploy testing environments, and collaborate with AI teams to deliver robust solutions.
The Data & AI Project Manager at Fever will lead data-driven projects from conception to completion, ensuring alignment with organizational goals. Responsibilities include strategic planning, stakeholder communication, and overseeing project execution with cross-functional teams, focusing on enhancing the user experience and operational efficiency.
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 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.
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.
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