Top Artificial Intelligence Jobs in Paris

Join the AI Health Companion stream to develop AI-powered features for the Doctolib app, focusing on patient health management and safety.

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 AI Deployment Strategist will drive the adoption of Mistral's AI solutions in cybersecurity, collaborating with executives, designing AI roadmaps, and ensuring successful deployment and customer success in securing digital assets.

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.

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.

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

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

As an AI Product Manager, you will lead AI product development, collaborate with teams, conduct market research, and ensure alignment with user needs.

As an Applied AI Engineer, you will develop Generative AI applications, optimize model performance, research AI techniques, and ensure compliance with regulations while collaborating with cross-functional teams.

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.

As an AI Research Engineer, develop reinforcement learning algorithms, optimize decision-making, debug and enhance learning pipelines, and integrate models into production systems.

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.

The Salesforce Product Manager will enhance sales processes, integrate AI innovations, oversee strategic product development, and ensure effective Salesforce adoption across teams.

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.

This internship involves market analysis of the European drone ecosystem and hands-on technical prototyping using Texas Instruments hardware for UAV applications, focusing on AI integration and semiconductor content evaluation.

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

Lead pre-sales architecture for HPE Private Cloud and AI solutions. Design scalable outcome-based solutions, build demos/POCs, quantify business value, drive account planning, and support sales lifecycle to close deals.

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.

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

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.

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.