Top Machine Learning Jobs in Lyon

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.

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 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.

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.

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.