Senior Machine Learning Engineer - Pricing Intelligence - AMP
Valsoft Corporation28 days ago
Beirut, LebanonSenior
Responsibilities
- Advance the pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other optimization methods.
- Improve booking-curve and final-occupancy demand forecasts, including uncertainty estimates.
- Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities.
- Turn machine learning models into reliable, tested, observable Python services from experimentation through deployment, monitoring, and rollback.
- Debug pricing, data, integration, and production behavior and investigate customer-reported issues to identify root causes.
- Strengthen reservation, occupancy, competitor-rate, PMS, and event-data pipelines.
- Contribute to AI-powered explanations and revenue-manager tools.
- Improve systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.
Requirements
- Experience taking machine-learning systems from problem definition through production deployment and monitoring.
- Strong Python and SQL skills, including experience building modular, typed, tested production software.
- A solid foundation in statistics, experimentation, forecasting, and model evaluation.
- Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.
- Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.
- Experience investigating customer-reported issues and communicating findings to technical and non-technical stakeholders.
- Ability to balance model sophistication with reliability, explainability, and business value.
- Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.
- Clear communication and ability to collaborate with engineers, product leaders, revenue-management experts, and customer-facing teams.
- Ability to turn ambiguous business or customer problems into practical, measurable plans and carry them through completion.
- Nice-to-have experience with contextual bandits, reinforcement learning, recommendation systems, bidding, sequential decision systems, probabilistic demand forecasting, hierarchical Bayesian modeling, pricing, revenue management, marketplaces, travel, hospitality, advertising, e-commerce, causal inference, off-policy evaluation, model drift, data-quality monitoring, experiment tracking, multi-tenant SaaS, event-driven architectures, distributed systems, third-party integrations, or LLM applications and agentic workflows.
Benefits
- Hybrid workplace arrangement in Beirut, Lebanon.
- Full-time position.
- Hospitality experience is welcome but not required, with domain learning support provided.
Tech Stack
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