Top Artificial Intelligence Jobs in Amsterdam

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Produce narrative-driven long-form AI-generated videos end-to-end: concept, prompting, generation, editing, compositing, motion graphics, color correction, and maintaining character/style continuity using emerging AI video tools.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Partner with EMEA AI/ML teams to drive adoption of Arize's observability platform, manage accounts through onboarding and renewals, run workshops/QBRs, identify upsell opportunities, and coordinate technical resources to ensure customers achieve measurable AI outcomes.

Customer-facing ML/GenAI engineer who advises customers, runs demos and strategic reviews, drives product adoption, partners with sales and engineering, and helps expand accounts by implementing best practices for production ML/LLM systems.

As a Senior Data & Analytics Consultant, you'll advise clients on data strategies, design solutions, and collaborate with teams to enhance outcomes. Strong analytics and communication skills are essential.

Serve as a strategic advisor for data-driven strategies, lead projects, provide insights, and collaborate across teams for client success.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead practical AI and automation initiatives across Merchant Success, Operations, Product, and Tech. Build internal tools, AI agents, and lightweight proofs of concept; implement and maintain external tools and workflows; improve team efficiency through no-code/low-code automations and operational tooling.

Embed with internal teams to discover high-leverage AI use cases, build production-capable AI-enabled internal tools, agents, and automations, implement evaluation and monitoring, create reusable patterns and hand off maintainable systems to business owners.

Edit and produce narrative-driven AI cinematic videos with a focus on storytelling and visual coherence, managing the entire production process.

The AI/ML Engineer role emphasizes technical leadership, project management, and client consultation, focusing on cloud solutions and system architecture. Candidates should have experience with data centers, systems architecture, and cloud technologies, aiming for innovative solutions within budget and time constraints.

This role involves leading engineering teams in the AI Platform, guiding delivery, supporting team growth, and ensuring technical alignment. Responsibilities include managing priorities, fostering collaboration, promoting best practices, and providing technical oversight and strategy to enhance platform capabilities and team dynamics.

Perform remote, part-time data tasks to improve Dutch AI outputs: collect, evaluate, and annotate data; perform pairwise comparisons, counting, object tagging across audio, video, images, and other content.

Develop AI agents, enhance workflows, and evaluate generative AI models. Build APIs and optimize knowledge systems in a fast-paced environment.

The Forward Deployed AI Engineer will support pre-sales, design AI solutions, implement projects, ensure quality, and guide customers through their journey.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

The role involves developing cloud-native financial compliance solutions, maintaining components, designing APIs, and applying best practices in security and performance. Team collaboration is essential.

Build pipeline and qualified meetings via targeted prospecting and outbound campaigns; lead AI-powered prospecting, enrichment, and automation; activate and monetize existing users; partner with marketing on demand generation; qualify and manage smaller inbound commercial opportunities end-to-end.

As a Chatdesk Expert, you will provide customer support via social media and email, representing brands and resolving customer inquiries professionally.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.