Data Scientist

Lead the end-to-end hands-on development, validation, and training loops for production-grade AI solutions.
Train and evaluate advanced machine learning models systematically within the Azure ML ecosystem.
Research, construct, and fine-tune next-generation generative ai architectures and deployment clusters.
Deploy high-performance, low-latency application programming interfaces (APIs) utilizing the FastAPI framework.
Architect, prompt-engineer, and safely integrate sophisticated large language models (LLM) into customer flows.
Build advanced context-aware information discovery features utilizing Retrieval Augmented Generation (RAG) pipelines.
Audit computational graph performance, address pipeline lag, and execute version control rules across environments.

Bachelor’s or Master's degree in Computer Science, Distributed Systems, Software Engineering, or related fields.
8–12 years of extensive technical industry experience, highlighting strong hands-on code development capabilities.
Direct, verifiable expertise handling Azure ML components, FastAPI endpoints, LLMs, and RAG architectures.
Deep conceptual clarity regarding transformer models, vector database configurations, and neural networks.
Exceptional structural problem-solving capabilities adapted to managing goals inside a hybrid work model.