Principal AI/ML Data Scientist
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Role details
Tech stack
Job description
Principal AI/ML Data Scientist, Experienced Data Scientist familiar with data structure and scaling of GenAI systems, history of commercial and business impact
Requirements
Do you have experience in Semantic Web?, Generative AI Level 4 - Expert, Expert-level knowledge of NLP, information retrieval, and document understanding techniques Experience in RAG pipeline optimization including chunking strategies, embedding models, hybrid search (semantic + keyword), and re-ranking Experience in scientific Design of Experiment to enable objective evaluation of AI experimentations. Proficiency in defining and building golden datasets, ground truth frameworks, and evaluation metrics (accuracy, precision, recall, KPI thresholds) Experience scaling AI methods from single use case MVPs to enterprise-grade, multi-use-case deployment Strong background in agentic AI frameworks and multi-agent orchestration - including expanding agentic approaches beyond Q&A to broader use case coverage Knowledge of ontology, knowledge graphs, and semantic standards as they apply to enterprise AI solutions
Desirable Experience, etc. Additional Preferred Qualifications:
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Experience with agile methodologies
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No less than three years experience, must be a strong, experienced practitioner
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