Data Scientist / AI Engineer

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This is a remote position.<\/p>

Project overview<\/span><\/b>
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Client: AI company
Duration: 12 months
Start: ASAP
Working mode: Fully remote
Daily rate: up to 350\u20ac<\/span><\/p>

Role context<\/span><\/b>
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Hands\-on <\/span>Data Scientist / Applied AI Engineer<\/span><\/b> role focused on delivering practical AI and GenAI solutions. The work is execution\-driven, with strong emphasis on data quality, evaluation, and reliable outputs rather than platform or BI development.<\/span>
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Scope<\/span><\/b>
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· <\/span><\/span><\/span><\/span><\/span>Build and deliver AI / ML proof\-of\-concepts<\/span>
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· <\/span><\/span><\/span><\/span><\/span>Prepare data, implement models, and deliver production\-ready code<\/span>
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· <\/span><\/span><\/span><\/span><\/span>Apply LLMs in practice (prompting, structured outputs, evaluation, RAG)<\/span>
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· <\/span><\/span><\/span><\/span><\/span>Collaborate closely with client teams and support workshops<\/span>
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Good fit / No fit (important)<\/span><\/b>
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Good fit: hands\-on, Python\-first, delivery\-oriented AI engineers
No fit: data platform / BI profiles, architecture\-heavy roles, research\-focused or lead\-only profiles<\/span><\/p>\n

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Requirements<\/h3>

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Required profile<\/span><\/span><\/b><\/b>
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·<\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Strong background in Data Science / ML / Statistics<\/span><\/span><\/b>
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·<\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Hands\-on ML pipelines in Python or R (e.g. scikit\-learn, pandas, numpy)<\/span><\/span><\/b>
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·<\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Practical GenAI experience (LLMs, LangChain, Chainlit, RAG)<\/span><\/span><\/b>
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·<\/span> <\/span><\/span><\/span><\/span><\/span><\/span>Comfortable working with messy, real\-world customer data<\/span><\/span><\/b>
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·<\/span> <\/span><\/span><\/span><\/span><\/span><\/span>English B2+<\/span><\/span><\/b>
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