Top Artificial Intelligence Jobs in Lyon

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

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

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.

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 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 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.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

As a Fullstack Engineer, you will design user interfaces, build APIs, write and test code, participate in deployments, and contribute to platform improvements while collaborating in an agile environment.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design and implement AI components for in-game event recognition and model optimization, focusing on multimodal learning and performance tuning.