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5+ years of professional experience in software engineering, with at least 2 years as a data engineer and significant exposure to AI/ML applications.
Bachelor's or master's degree in computer science, Artificial Intelligence, Physics, Mathematics, or other relevant disciplines.
Proficiency in Python, with experience in frameworks like Tensorflow, PyTorch and tools for building ETL pipelines (e.g., Metaflow, Airflow).
Hands-on experience with cloud platforms (AWS, GCP, Azure, or BTP).
Strong knowledge of relational databases, object stores, and vector databases.
Experience in Knowledge Graph technologies (e.g., RDF, SPARQL) and familiarity with SAP S/4HANA backend data models (e.g., CDS Views, RAP) is a plus.
Expertise in building scalable data pipelines for AI applications, particularly those involving LLMs or similar models.
Strong communication, collaboration, and leadership skills, with experience working in agile and cross-cultural teams.
A curiosity to experiment with and adopt emerging technologies and frameworks.
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