<ul>
<li> Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field.
<li> 5-8 years of experience in ML Engineering, Data Engineering, or MLOps.
<li> Proficiency in Python and experience with data manipulation, analysis and visualisation libraries (e.g. Pandas, NumPy, Matplotlib, Seaborn etc.)
<li> Hands-on experience with vector databases and embedding techniques, data pipelines
<li> Familiarity with access control models (e.g. RBAC, ABAC) and data governance practices.
<li> Strong understanding and adherence to the Clean Code principles.
</ul>


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