Company DescriptionFull Force Digital helps clients deliver smart, consistent, and personalized content at speed and scale. Our services go beyond delivering projects or programs; we focus on building trusted partnerships. We tailor, structure, and evolve our concepts and models to meet exact needs, trusted by global leaders. We deliver significant results, including a 40% boost in customer lifetime value, 25% more impact and conversions, 20% faster time to market, 30% more efficient processes, and 60% more effective content production.Key ResponsibilitiesBased on briefings, design AI infrastructures, creation of agents, automations and supporting data modelsSupport the implementation of AI/ML workflows including data preparation, training pipelines, and inference systemsCollaborate on the development of governance, security, and compliance protocolsContribute to documentation, reporting, and stakeholder presentationsStay current with emerging technologies in data and AI, and share insights with the teamRequired Skills & QualificationsBachelor’s degree (Master preferred) in Computer Science, Data Engineering, AI, or related fieldSolid understanding of data architecture principles (a.o. ERD) and AI/ML and LLM concepts. Preferably also OLAP, UML and BPMNCapability with one or more of the following technologies (or comparable): Microsoft Foundry, Amazon Bedrock, Crew AI, n8n, Make.com, FusionGood understanding of SQL, Python, React, Node.js or similar languages.Exposure to cloud platforms (AWS, Azure, GCP)Strong analytical thinking and problem-solving skillsExcellent communication and collaboration abilitiesLive in the NetherlandsPreferred Experience4+ years’ experience in AI projects, with clear contributions and deliveriesKnowledge of data privacy regulations and ethical AI principlesExperience with tools like Adobe Workfront and platforms like Make.com is a plusWhat We OfferA culture of learning, mentoring, and personal growth.Access to diverse projects with top-tier clients.A collaborative environment with experienced digital leaders.Competitive compensation and flexible/hybrid working arrangements.

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AI engineer and innovator