Top Artificial Intelligence Jobs in France

The Support Engineer will enhance user experiences through quality assurance, debugging, knowledge gap closure, and supporting agent responses, ensuring minimal human intervention in AI interactions.

Own the end-to-end AI Scribe product: define strategy, improve clinical ASR quality, build ML evaluation and monitoring, collaborate with clinicians and engineers, and drive Germany market launch to reduce clinician documentation burden.

As an AI Research Engineer at Tether, you'll enhance model architectures and optimize pre-training techniques using large GPU servers, focusing on maximizing AI performance and efficiency.

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.

As an AI Research Intern, you'll design and implement deep learning models for computer vision tasks, including research on CNNs and Vision Transformers and techniques like model compression and quantisation-aware training.

Design and deploy practical AI systems for the FinTech team: write Python/SQL for data orchestration, build agentic AI workflows to automate financial processes, connect systems using tools like n8n, and upskill teammates on AI tools while owning project delivery and outcomes.

The role involves developing and maintaining ML models for robotics, enhancing the core library, managing community interactions, and ensuring high performance benchmarks.

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

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.

The role involves guiding engineering teams in integrating AI coding tools, designing AI-enhanced workflows, and leading workshops. It requires deep customer engagement and technical expertise to accelerate adoption of AI solutions.

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

Research and develop AI methods for robotics, build infrastructure for AI model training, and collaborate with teams to deploy AI systems on robots.

Embed with customers to discover AI use cases, build end-to-end RAG/LLM prototypes, productionize services with CI/CD and IaC, monitor reliability/cost, ensure security/compliance, and enable customer adoption and feedback.

Lead the design and implementation of data pipelines and AI workflows, collaborating with stakeholders on technical architectures within a dynamic data engineering team.

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.

As an AI Benchmark & Datasets Engineer Intern, you'll identify and curate benchmarks, evaluate clarity and data quality, run validations, and maintain documentation for model evaluation.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As an intern at Dashlane, you will work on the AI Data Loss Prevention project, improving machine learning tools, data labelling processes, and security features for a web extension in collaboration with engineering teams.

The Head of Digital and AI leads strategy and governance for digital transformation and AI initiatives, ensuring effective data foundations and cross-functional collaboration to drive measurable business impact.

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.

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

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