Build and productionize customer-facing machine learning and AI features for product matching, classification, and attribute extraction. Train and evaluate classical ML, embedding, and LLM models; develop RAG and retrieval systems on AWS; and own deployment, monitoring, retraining, and experimentation. Establish evaluation frameworks, monitor drift, quality, latency, and cost, and optimize high-volume inference. Collaborate rapidly to turn customer problems into reliable, cost-effective ML systems.

Own the full enterprise sales cycle for new business, including account targeting, outbound pipeline generation, discovery, demos, business cases, negotiation, procurement, legal, and contract closing. Manage a $1.5M+ quota and complex six-figure deals with enterprise brands, manufacturers, and retailers. Map buying committees, engage executive stakeholders, maintain accurate forecasts, and potentially expand existing accounts through cross-sell and renewals.