Top Artificial Intelligence Jobs in Lyon

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

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

As an AI Product Manager, you will lead the application of AI in Health Information Systems, manage product portfolios, and ensure compliance with healthcare standards while delivering technology solutions that enhance patient care.

The AI Programme Manager will oversee AI initiatives across health systems, coordinating delivery, managing stakeholders, and ensuring alignment with strategic goals, while mitigating risks and driving timely execution.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

As the Technical AI Lead, you will oversee a global team, ensuring quality in AI products, defining best practices, and collaborating with product teams to deliver AI-driven solutions in healthcare.

The Product Manager for AI Customer Support at Alan defines product strategy, collaborates with teams, and enhances AI-driven customer support experiences.

The Data/AI Product Manager will lead the roadmap for the Data & AI squad, managing product development, strategy, and delivery, focusing on integrating AI into influencer marketing technology.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

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

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

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Create high-performing video ads for platforms like Meta and AppLovin. Use design tools to produce creative and functional outputs while maintaining efficiency.

The role involves creating high-output performance video ads using generative video tools for platforms like Meta and AppLovin, emphasizing design principles and effective production workflows.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As an AI Expert, you will review and evaluate AI-generated outputs, ensuring cultural relevance and accuracy while providing structured feedback. This role requires attention to detail and the ability to generate or assess content depending on project needs.

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

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.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

As an AI Solutions Engineer, you will develop practical AI solutions for consulting workflows, leveraging automation and AI tools to increase efficiency and support client delivery. You will work closely with teams to identify challenges and deliver scalable, intelligent systems.