Top Machine Learning Jobs in Lyon
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 Staff Machine Learning Engineer at Mozilla, you will lead the design and integration of Generative AI solutions for Firefox, build the infrastructure for LLMs and small models, implement validation and testing procedures, and optimize deployed models for performance.
A Senior AI/Machine Learning Consultant role focusing on the development and implementation of machine learning and AI systems. Responsibilities include full ML development process, working with ML/IA/MLOps platforms, sharing best practices with clients, and applying automation, testing, versioning, reproducibility, and monitoring in AI solutions.
The Senior Machine Learning Engineer will analyze data, build and implement features to enhance model performance, and optimize recommendation systems. You will collaborate with various teams and present data findings to maximize business impact.
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.
The AI/ML/MLOps Engineer will design, build, and maintain MLOps pipelines primarily focusing on generative AI models. Responsibilities include managing cloud infrastructure, implementing DevOps best practices, monitoring model performance, and collaborating with cross-functional teams.
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 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 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 Manager, Total Rewards will develop a comprehensive total rewards strategy aligned with organizational goals, analyze compensation practices, manage executive compensation programs, oversee global benefits, and provide analytics to measure the effectiveness of rewards programs, ensuring competitiveness and compliance with relevant regulations.
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