Found Description
Architectural Strategy & Forecasting Leadership: Define the long-term forecasting roadmap and establish architectural standards for the entire company Lead the architectural design of complex ML systems, ensuring they are scalable, maintainable, and integrated seamlessly with the broader engineering stack Architect reusable, “platform-level” forecasting frameworks to be used by other Data Science teams High-Impact Modeling: Own the development of “tier-1” models—those with the highest business risk or technical complexity—using advanced statistical, deep learning, or Reinforcement Learning techniques Tackle high-ambiguity challenges, such as integrating causal inference or deep learning into global forecasts GenAI & LLM Innovation: Act as the subject matter expert for Generative AI; design RAG architectures, evaluate foundation models, and establish fine-tuning protocols for proprietary data MLOps & Quality Assurance: Define the team’s technical standards for CI/CD, model versioning, a...