How Remoteville checks and expires listings

AI Engineer

Skills
AdoptionHousekeepingInterest RatesModelingMotorsNegotiationProperty Management Systems
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 3+ years building and shipping ML systems in production
  • Strong Python and modern ML/data stack including pandas scikit-learn PyTorch or TensorFlow and SQL
  • Solid grounding in forecasting optimization or recommendation and pricing problems
  • Experience taking models from prototype to deployed service including monitoring and iteration
  • Ability to communicate clearly with non-technical stakeholders and translate business problems into technical ones

Nice to have

  • Hospitality experience
  • Dynamic pricing familiarity
  • LLM integration experience
  • Cloud and MLOps experience
  • Experimentation mindset

Day to day

  • Design, train, evaluate, and deploy machine learning models on real booking, rate, and market data.
  • Build reliable data pipelines that combine PMS CRS booking-channel and third-party market data into clean feature sets.
  • Stand up production infrastructure for model serving monitoring retraining and guardrails while partnering closely with revenue and commercial teams.