Top Artificial Intelligence Jobs in Paris

The AI Research Associate Internship at J.P. Morgan involves conducting end-to-end AI research, collaborating on various projects, developing models and algorithms, and contributing to high-impact applications in financial services. Interns will also engage in the research lifecycle, including problem formulation and experimental design, while participating in academic conferences.

As a Senior Data Scientist in the AI Applied Research team, you will leverage generative AI and machine learning for product features, conduct research, implement deep learning models, and collaborate across teams. You'll lead publications, mentor junior staff, and stay updated on AI advancements.

As a Senior AI Engineer, you will develop and optimize AI-driven solutions for clinical trials, collaborating closely with Product Engineers and business stakeholders to meet healthcare challenges. Your role involves defining requirements, ensuring model performance, and using observability tools.

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.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.

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.

The AI Data Science Engineer will adapt large language models, analyze data, develop AI solutions, monitor performance, and stay updated on AI developments. This role requires collaboration with teams and rigorous documentation of processes and models.