Top Artificial Intelligence Jobs in France

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

As a Customer Support Expert, you will provide customer support via social media and email, representing brands and resolving requests professionally.

As a Python Developer in the AI & ML team at IDnow, you will design and maintain micro-services for AI-based fraud detection, optimize algorithms, ensure code quality, and collaborate with product owners to meet customer needs.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

As an AI Monitoring and Onboarding Specialist intern, you will produce AI trend digests, conduct competitive analysis, and support AI training initiatives while simplifying complex information for diverse audiences.

The Senior AI Architect will own AI-driven product features from inception to deployment, applying modern AI techniques and collaborating with teams to align AI capabilities with business goals.

The Senior Product Manager will lead The Economist’s strategy for Gen AI and conversational platforms, ensuring accurate representation and citation of journalism across AI systems. This includes managing integrations, defining standards, and collaborating with engineering, data science, and marketing teams.

Lead research efforts at Economist AI Lab, develop AI-powered products, and explore innovative applications of AI across different media formats while collaborating within a small team.

Design, train, and deploy state-of-the-art multimodal acoustic models for underwater detection, classification and localization. Build end-to-end training pipelines with self-supervised pre-training and fine-tuning, fuse multiple sensor modalities, optimize and distill models for edge deployment on constrained hardware, shape data collection strategy from fleet sensors, and iterate using sea trials.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

As an AI Deployment Strategist, you'll design, build, and deploy AI-powered planning solutions, work with customers, and bridge product and engineering teams to innovate and scale AI workflows.

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

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

The Playable AI Engineer will develop and scale interactive ads using AI and playable development skills, collaborating with various teams to optimize ad performance.

The AI Product Manager will drive the adoption and operationalization of AI solutions, collaborating with teams to create production-ready applications and measure their impact.

Lead SRE for Edenred's Data & AI platform: define and operate SRE standards, observability, FinOps, incident and service management; co-own CI/CD and architecture; act as player-coach to improve reliability and run critical systems.

Lead the design, build, and roadmap of Edenred's Data & AI platform (Databricks/Unity Catalog). Deliver secure, scalable, observable platform primitives, enable agent interoperability, co-own CI/CD and infra-as-code, coach teams, and prevent platform fragmentation while enabling safe experimentation.

The AI Full Stack Engineer will design, develop, and maintain AI-powered web applications. Responsibilities include front-end and back-end development, API creation, and collaboration with product teams to deliver intuitive user interfaces and secure data management.

The role involves designing AI workflows for drug discovery, developing machine learning methods for structural modeling and optimization, and automating protocols to enhance discovery processes.

The role involves supporting the design of AI assistants, experimenting with Generative AI models, and collaborating to identify use cases that enhance business efficiency.

The AI Research Engineer will advance robotics through reinforcement learning, designing and deploying AI agents in complex environments, collaborating with cross-functional teams.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.