Job Description
About the Role
Build, train, deploy, and operate the ML engine powering TourIQ, a B2B dynamic pricing platform for the tours & activities industry. You’ll work across traditional ML, LLM integration, and full MLOps — no separate MLOps hire, you own the complete lifecycle from development through production. Your models directly impact customer revenue.
Key Responsibilities
ML Pricing Engine
- Design, train, and deploy ML models for price optimization using diverse real-world signals
- Build ensemble approaches combining multiple model outputs with confidence scoring
- Engineer and maintain a large feature set spanning temporal, environmental, demand, and competitive signals
- Handle scenarios with limited historical data for new customers
- Implement guardrails and fallback logic for low-confidence predictions
- Train and manage ML models for diverse customer segments at scale
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