Job Description
We are seeking for a hands-on Data Scientist / Applied AI Engineer, 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.
Scope:
Build and deliver AI / ML proof-of-concepts
Prepare data, implement models, and deliver production-ready code
Apply LLMs in practice (prompting, structured outputs, evaluation, RAG)
Collaborate closely with client teams and support workshops
Required Skills:
Strong background in Data Science / Machine Learning / Statistics
Hands-on ML pipelines in Python or R (e.g. scikit-learn, Pandas, NumPy)
Practical GenAI experience (LLMs, LangChain, Chainlit, RAG)
Comfortable working with real-world customer data.
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Scope:
Build and deliver AI / ML proof-of-concepts
Prepare data, implement models, and deliver production-ready code
Apply LLMs in practice (prompting, structured outputs, evaluation, RAG)
Collaborate closely with client teams and support workshops
Required Skills:
Strong background in Data Science / Machine Learning / Statistics
Hands-on ML pipelines in Python or R (e.g. scikit-learn, Pandas, NumPy)
Practical GenAI experience (LLMs, LangChain, Chainlit, RAG)
Comfortable working with real-world customer data.
Show more Show less
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