Top Artificial Intelligence Jobs in the Netherlands

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

As a Senior Data Scientist, you'll analyze large datasets from digital channels, develop predictive models and algorithms, and present actionable insights to clients while staying updated on the latest trends in data science and digital marketing.

Outlier seeks experienced software engineers to assist in training AI models by creating questions related to computer science and evaluating AI-generated code. This freelance opportunity offers flexible hours, allowing coders to work at their convenience, without the need for prior AI experience.

As a Staff Machine Learning Engineer at Mozilla, you will lead the development of Generative AI solutions for Firefox, collaborating with various teams to design, build, and integrate machine learning models. Your responsibilities include creating infrastructures for model training and inference, implementing validation processes, and optimizing model performance in production environments.

The Senior Technical Product Manager will oversee the ML/AI product lifecycle, managing product backlogs, collaborating with cross-functional teams, and ensuring product delivery for leading AI companies. The role requires technical expertise in ML infrastructure, product innovation, and customer engagement.

In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.

Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.

As a Domain Architect for Data & AI, you will lead data-driven transformation within the organization, integrating data and AI technology, advising DevOps teams, designing secure architectures, keeping abreast of industry trends, creating implementation roadmaps, and ensuring alignment with business goals.