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 framework
- Good practical Knowledge on Entity Framework
- Good Hands-on experience on Azure DevOps
- Mathematics, statistics: probability theory, advanced statistics, optimization
- Machine learning & deep learning:
- Understanding model architectures
- Bias, interpretability
- Theoretical knowledge:
- Bias, Variance, overfitting
- Training/testing methodologies and regularization
Theory + ¨Practices
- Model evaluation techniques:
- Cross validation/hold out, key metrics: RMSE, AUC, F1-score
- Bias, fairness detection in IA
- Ability to customize theory to practice:
- build our own metric depending on a good business comprehension and final objectives
- Programming tool:
- scikit-learn, PyTorch
Research Ability:
- Curiosity to read and understand scientific papers, Medium and specialized forums
- Ability to propose and test new methods
- Ability to dig deeper
knowledge of agentic and RAG