AI Data Scientist at CapB InfoteK

For one of our ongoing multiyear opportunity based out of Dallas TX we are looking for a AI engineer.Perform statistical analysis clustering and probability modeling to drive insights and inform AI-driven solutionsAnalyze graph-structured data to detect anomalies extract probabilistic patterns and support graph-based intelligenceBuild NLP pipelines with a focus on NER entity resolution ontology extraction and scoringContribute to AI/ML engineering efforts by developing testing and deploying data-driven models and servicesApply ML Ops fundamentals including experiment tracking metric monitoring and reproducibility practicesCollaborate with cross-functional teams to translate analytical findings into production-grade capabilitiesPrototype quickly iterate efficiently and help evolve data science best practices across the teamThe consultant should haveSolid experience in statistical modeling clustering techniques and probability-based analysisHands-on expertise in graph data analysis including anomaly detection and distribution pattern extractionStrong NLP skills with practical experience in NER entity/ontology extraction and related evaluation methodsAn engineering-forward mindset with the ability to build deploy and optimize real-world solutions (not purely theoretical)Working knowledge of ML Ops basics including experiment tracking and key model metricsProficiency in Python and common data science/AI librariesStrong communication skills and the ability to work collaboratively in fast-paced applied AI environments. Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full Time Experience: years Vacancy: 1