Top Artificial Intelligence Jobs in Paris

Support training and benchmarking of LLMs, prepare and evaluate training datasets, and assist the core research team at Pathway.

Lead a 2-3 person product management team to define and execute integration strategy for Scibids AI across DSP and social platforms. Own roadmaps, partner with business development and engineering, drive go-to-market coordination, competitive analysis, and report progress to senior leadership to expand platform reach and revenue.

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.

Lead sales of AI-driven opportunities across France and Southern Europe, engaging with customers and developing strategic partnerships in AI infrastructure.

The role involves engaging with developer ecosystems, promoting NVIDIA technologies, and leading technical collaborations to foster developer engagement and adoption.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

Develop and improve AI models, evaluate performance across various use cases and modalities, and collaborate with teams to deploy AI applications.

As an AI Strategic Project Manager, you'll design scalable AI workflows, produce high-quality visuals, and explore new AI tools while collaborating across teams.

Lead the design strategy for Deel's AI vertical, overseeing design for AI products, enhancing user experiences, mentoring designers, and driving cross-team collaboration.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

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.

Develop and scale AI features for an ecommerce platform, focusing on backend and frontend systems, LLM integration, and improving AI performance.

The AI Data Engineer designs and operates data pipelines for reliable AI systems, focusing on data curation, evaluation workflows, and collaboration with engineering teams to ensure data integrity and performance efficiency.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

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.

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

The Manager of Molecular Generation Team leads a multidisciplinary group in developing methods for designing novel molecules using AI and physics-based techniques. Responsibilities include strategic leadership, team management, and facilitating collaboration for effective molecular generation workflows.

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.

The Applied AI Engineer will develop automated MLOps pipelines for integrating and deploying AI models in healthcare robotics, ensuring compliance with regulations and achieving clinical accuracy targets.

As an AI Product Manager, you will lead the development of AI-enabled Clinical Data products, focusing on multi-modal clinical and genomic data.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

As the Technical AI Lead, you will oversee a global team, ensuring quality in AI products, defining best practices, and collaborating with product teams to deliver AI-driven solutions in healthcare.

As an AI Product Manager, you will lead the application of AI in Health Information Systems, manage product portfolios, and ensure compliance with healthcare standards while delivering technology solutions that enhance patient care.