Lead Data Scientist - GENAI & RAG/ Python /Understanding model architectures/ Java or c++

Should come with 5+ years of experience in Artificial Intelligence, Generative AI, Python, & RAG with development background using Java or C++Deep Practical Knowledge on any object-oriented programming (inheritance, overriding, interface implementation )Good implementation of design patterns (Singleton, Factory patterns, injector…)Good Practical knowledge on Fast API, Azure.Good Knowledge on AD Authentication, security frameworkGood practical Knowledge on Entity FrameworkGood Hands-on experience on Azure DevOpsMathematics, statistics: probability theory, advanced statistics, optimizationMachine learning & deep learning:Understanding model architecturesBias, interpretabilityTheoretical knowledge:Bias, Variance, overfittingTraining/testing methodologies and regularizationTheory + ¨PracticesModel evaluation techniques:Cross validation/hold out, key metrics: RMSE, AUC, F1-scoreBias, fairness detection in IAAbility to customize theory to practice:build our own metric depending on a good business comprehension and final objectivesProgramming tool:scikit-learn, PyTorchResearch Ability:Curiosity to read and understand scientific papers, Medium and specialized forumsAbility to propose and test new methodsAbility to dig deeperknowledge of agentic and RAG