Lead advanced GenAI projects, building and scaling production ML systems with NLP and LLM expertise, driving end‑to‑end deployment and feature evolution.
About the role
Key Responsibilities
Design, develop, and deploy large‑scale NLP and Generative AI models, including LLMs and Retrieval‑Augmented Generation pipelines.
Own the full deployment lifecycle: model training, evaluation, monitoring, and iterative feature enhancements.
Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions and production‑grade systems.
Implement robust monitoring, logging, and performance tuning to ensure reliability and scalability of AI services.
Mentor junior data scientists and share best practices for model governance and reproducibility.
Requirements
8+ years of professional data science experience with a strong focus on NLP and GenAI.
Proven track record building and deploying production‑grade ML systems at scale.
Hands‑on experience with LLMs, RAG architectures, and end‑to‑end deployment pipelines.
Deep understanding of model evaluation, monitoring, and continuous improvement.
Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.