Top Artificial Intelligence Jobs in Lyon

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

As a Smart Home Solution Engineer Intern, you will evaluate new smart home technologies, gather information, analyze installations, and propose new product developments.

The Product Manager for AI Customer Support will define and execute product strategies, collaborating closely with teams to enhance AI-driven customer support experiences.

Lead the Docugami Europe AI research lab, manage a team of researchers, propose solutions to scientific problems, and collaborate with academic institutions.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Lead AI initiatives for public sector collaboration, drive business development, maintain sales tracker, mentor teams, and develop market strategies.

Join the math libraries team focusing on high-performance numerical software for AI and HPC. Collaborate with engineers and manage technical roadmaps while optimizing algorithms for GPU performance.

The Senior AI Engineer will enhance Gurobi Optimization's platform through AI and machine learning, focusing on integration, testing, and collaboration across teams.

Adapt scripts for dubbing, generate audio using AI tools, refine translations, evaluate voice quality, and handle client feedback while managing multiple productions.

Lead the LLM team at EverAI, architecting systems, writing production code, and overseeing model lifecycle and moderation for AI companionship products.

The role involves managing compliance with laws for AI and e-commerce, preparing legal documents, and conducting risk assessments while collaborating closely with the Ethics and Compliance Officer.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

Lead the product design team to create innovative user experiences for an AI-based platform, conducting research and defining design vision.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

As a Senior Software Engineer at Razer, you will develop high-performance C++ systems for real-time game data acquisition, event tracking, and video generation, while optimizing engine performance and ensuring system reliability.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

Analyze HR processes for AI opportunities, enhance data quality, configure HR AI solutions, collaborate across teams, and support AI governance.