Top Artificial Intelligence Jobs in France

As IT Business Lead, you'll align IT and business strategies, lead initiatives in AI and process optimization, and ensure delivery of tech initiatives.

Join Dailymotion's AI Integration team as a Senior Backend Engineer, developing AI-driven backend services and APIs, working with a primarily Python stack and collaborating across teams to enhance content creators' experience.

The Talent Acquisition Operations Partner will optimize recruitment using AI, automate processes, and enhance candidate experiences while driving data-driven insights across hiring models.

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.

In this role, you will leverage AI capabilities to improve customer interactions while collaborating with sales teams, developing strategies, and leading AI-focused workshops for clients.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Manage implementation projects from planning to execution, ensuring client satisfaction and continuous improvement of processes and products.

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.

The AI Deployment Strategist drives adoption and deployment of AI solutions, collaborating with customers, designing roadmaps, and ensuring successful implementation of AI technology.

Design, build, and productionize LLM-based, retrieval, and multimodal AI systems. Develop RAG and agentic pipelines, deploy and monitor models in cloud-native environments, evaluate performance, and collaborate with engineering and product teams to scale robust AI solutions.

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

Lead development of ML and deep learning models to integrate multi‑omics data for target identification, pathway analysis, and patient stratification. Design representation‑learning and transformer‑based approaches, ensure model robustness and interpretability, scale experiments on HPC/cloud, and collaborate with biologists and discovery teams to translate findings into drug discovery workflows.

Lead development of LLM/NLP and agentic AI solutions for Competitive Intelligence and Clinical Operations. Design RAG and vector-database architectures, build scalable CI tools, implement data pipelines and extraction systems, and deliver insights to stakeholders while operating in cloud environments.

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 the development of the AI Platform, ensuring tools and infrastructure support AI product teams. Define product vision, technical capabilities, and robust frameworks for AI initiatives.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

Partner with account teams to drive adoption of Databricks AI/BI product-line through technical leadership, demos, workshops, architecture guidance (lakehouse, Spark, cloud), escalations, and product feedback to R&D and GTM.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

As a Senior Product Manager, you will define the product vision and roadmap for StockSparK, work closely with engineering and design, and ensure the product meets dealer needs while driving company growth.

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

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 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.