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Senior Data Scientist
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<p data-pm-slice="1 1 []">At Wypoon Technologies, we are looking for an experienced Data Scientist with a strong focus on Generative AI to join an innovative AI team within a leading financial services organization in the Netherlands.</p>
<p>In this role, you will design, develop, and deploy advanced GenAI solutions that solve complex business challenges and deliver real value. You will work at the intersection of Data Science, Generative AI, and Software Engineering, building scalable, reliable, and responsible AI applications.</p>
<p>You will collaborate closely with engineers, product teams, and business stakeholders to accelerate GenAI adoption across different business domains</p>
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<div><strong style="font-size: 18px;">Why Join Us?</strong><span style="font-size: 18px;"> </span></div>
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<div><span style="font-size: 12pt;">At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as </span><strong style="font-size: 12pt;">Heineken, ING, ASML, Philips, and Shell</strong><span style="font-size: 12pt;">, tackling exciting challenges and delivering tailored enterprise solutions. </span></div>
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<div><span style="font-size: 12pt;">Here’s what makes us stand out: </span></div>
<div>✔ <strong style="font-size: 12pt;">Impactful Work</strong><span style="font-size: 12pt;">: Shape the future of our clients’ digital landscapes. </span></div>
<div>✔ <strong style="font-size: 12pt;">Innovative Environment</strong><span style="font-size: 12pt;">: Collaborate within a supportive team that values learning and growth. </span></div>
<div>✔ <strong style="font-size: 12pt;">State-of-the-art technology</strong><span style="font-size: 12pt;">: Access the latest tools and platforms. </span></div>
<div> </div><br><strong>Key Responsibilities</strong><br><div>
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<p>Design, develop, test, deploy, and maintain scalable, production-ready Generative AI solutions.</p>
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<p>Build AI-powered applications using Large Language Models (LLMs), NLP, and modern GenAI technologies.</p>
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<p>Develop reusable GenAI components and solutions that can be applied across multiple business domains.</p>
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<p>Take ownership of the full AI development lifecycle, from identifying business needs to production deployment and monitoring.</p>
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<p>Implement LLMOps/MLOps practices to ensure reliability, scalability, and continuous improvement.</p>
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<p>Collaborate with cross-functional teams and stakeholders to translate business challenges into practical AI solutions.</p>
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<p>Contribute to automation, technical best practices, and knowledge sharing within the team.</p>
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</ul></div><br><strong>Requirements</strong><br><div>
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<p>At least 4 years of experience as a Data Scientist, AI Engineer, Machine Learning Engineer, or in a similar role.</p>
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<p>Strong Python programming skills, with the ability to write clean, reusable, maintainable, and testable code.</p>
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