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 model...

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