Senior Data Scientist

Description

(Responsibilities) People Leader Role: No - In the Machine Learning domain, design and implement machine learning models including Classification, Regression, and Time Series, and own the full lifecycle from Feature Engineering through model evaluation and operations- In the Generative AI domain, design and build optimal AI solutions tailored to use case, cost, latency, and regulatory requirements by combining core technologies such as RAG, Vector Search, Embedding, and Multi-Agent Orchestration with the use of LLM platforms (e.g., Azure OpenAI) and LLM / SLM Fine-tuning- Design AI Evaluation frameworks tailored to each use case, and operate MLOps / LLMOps (monitoring, drift detection, continuous improvement) to continuously ensure and improve the quality of solutions in production- Take ownership of projects of diverse scope and deliver them end-to-end, including building and presenting business cases on benefits, while considering Change Management- I...