Top Artificial Intelligence Jobs in France

Perform voice-mode conversations with AI chatbots in French (France), follow predefined prompts/goals, then rate and document the interactions in English. Use personal smartphone for voice input and laptop for rating, adhere to confidentiality and project guidelines.

Lead and deliver multiple AI initiatives by embedding with product teams to scope, prototype, and deploy LLM-based use cases while building transversal tooling for visibility, monitoring, and ROI tracking across the AI portfolio. Balance hands-on prototyping with program architecture, cross-functional alignment, and platform improvement.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Develop and deploy AI/ML models (anomaly detection, classification, regression, NLP/LLMs) using ESA's structured and unstructured data. Work end-to-end across data engineering, model development, testing, MLOps, and software integration. Communicate results to senior management and present at conferences.

The Principal Machine Learning Engineer will lead cross-functional AI initiatives, define ML architecture, establish evaluation frameworks, and influence technical standards across teams.

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.

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.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

Own client success for Emiri deployments by triaging issues, identifying root causes, coaching commercial teams, configuring and QA-ing client models, testing fixes, and translating user feedback into product enhancements and clear guidance for users and development.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Lead the support function by building AI agents, automation workflows, classification and knowledge systems to eliminate ticket categories. Split time between running escalations, investigating complex issues across logs and code, and hiring and developing support engineers. Own the "Support as a Product" backlog and drive product improvements from customer signal to engineering execution.

The Chief Data & AI Officer will strategize and implement data and AI initiatives to drive business growth and operational efficiency across Pluxee globally. Responsibilities include fostering a data-driven culture, leading data governance, ensuring compliance, and promoting the adoption of AI and advanced analytics.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Design and implement CI/CD and IaC for LLMs, automate model and dataset versioning, provision GPU/TPU infrastructure, enable safe experiment gates and progressive delivery, and build monitoring/observability and feedback loops for production LLM endpoints.

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.

Define product vision and strategy via market research and data analysis; build prioritized roadmaps; collaborate with PMs, designers, and engineers to launch products; communicate with stakeholders; track performance and iterate post-launch.

The Fullstack Applied AI Engineer will build and maintain the infrastructure for Lumo's AI platform, integrating privacy-preserving technologies and ensuring high availability for millions of users.