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optimization for production environments.\nPresent analytical findings and predictive insights to technical and non-technical stakeholders in clear, concise English.\nRequirements\nBachelor’s degree or higher in Data Science, Computer Science, or a related field.\nSolid experience with Python and relevant ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn).\nPractical expertise with graph databases (e.g. Neo4j, RDF stores, GraphDB).\nExperience in NLP, entity linking, and relationship extraction is a strong advantage.\nProven ability to deploy ML models and data solutions in production (AWS, GCP, or Azure).\nStrong communication skills and the ability to work effectively in English-speaking environments.\nOther requirements\nFluent in English;\nAbility to simplify complex problems and obtain a workable solution;\nCustomer focus and service delivery;\nAvailability to work in 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