Top Artificial Intelligence Jobs in France

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

As a Senior Data Scientist at Doctolib, you will leverage NLP and AI to develop innovative ML-driven features for healthcare professionals. Your role involves developing, testing, and deploying models, and collaborating with teams to improve product functionalities based on user insights.

In this role at Doctolib, you'll work to develop AI solutions that enhance healthcare delivery, including building a medical assistant powered by LLM. You will leverage your expertise in NLP and deep learning to create models and continuously improve their deployment and performance.

As a Senior Data Scientist at Doctolib, you will develop and implement AI solutions, simplify access to healthcare, deploy algorithms in production, and collaborate with a team to improve patient solutions. You will also measure outcomes to continuously enhance your methods.

The Staff MLOps Engineer at Doctolib will develop, deploy, and maintain machine learning models, ensuring performance and scalability. Responsibilities include implementing MLOps pipelines, collaborating with data scientists, and optimizing model performance while documenting processes and best practices.

As an AI Engineer, you will develop and implement AI models to optimize Travel distribution operations, collaborate with stakeholders to identify AI opportunities, analyze large datasets for insights, and promote AI technology adoption within the department.

The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.

The Network Systems Engineer at Arista Networks will partner with Account Managers to support pre-sales technical engineering for customers, design network solutions, conduct proof-of-concepts, and provide feedback to product management. They will also represent the company at events and author technology-related content.

The Sr. Course Development Engineer will create high-quality technical courses, mentor new hires, and collaborate with review engineers to enhance course content and effectiveness.

As an Associate Solutions Architect, you'll join the NextGen Presales Academy, focusing on developing into a skilled Presales Solutions Architect. Responsibilities include developing knowledge in data center solutions, gathering customer requirements, collaborating with teams, delivering product demos, and studying trends like cloud computing and AI. After the training program, you'll contribute to an industry-leading presales organization, helping customers with IT initiatives and business challenges.

As an Applied AI Engineer, you'll design, build, and deploy AI Assistants for customer interactions, engaging with clients to identify needs and enhance solutions. You'll apply advanced AI techniques to improve conversational experiences and guide customer strategies while continuously optimizing systems.

You will design and develop the AI platform, collaborate with a diverse team to build data pipelines and ensure the quality of data flows for AI product delivery.

Outlier seeks experienced software engineers to provide coding expertise for training AI models. Responsibilities include crafting and evaluating computer science questions to enhance generative AI capabilities. This freelance role offers flexible hours and remote work options.

The AI Sales Specialist will focus on executing cloud services go-to-market strategies, educating stakeholders on Red Hat's Cloud Services value, and building relationships with cloud providers. The role requires strong sales experience, knowledge of the Kubernetes ecosystem, and expertise in cloud services and AI tools.

As an AI Research Engineer at Helsing, you will develop and extend ML/AI capabilities, designing experiments and benchmarks to evaluate performance in real-world scenarios. Your role involves integrating cutting-edge AI technology into production systems while collaborating across various teams.

The AI Engagement Manager will lead the development of enterprise AI solutions, collaborating with stakeholders to define use cases and ensuring successful deployments. Responsibilities include managing solution lifecycles, facilitating project plans, quantifying value metrics, and driving customer adoption and retention.

The AI Engineer will lead the design and development of deep learning models using high-resolution image data and analytical solutions on a cloud platform, focusing on model performance, data labeling strategies, and integrating these models into an automated pipeline.