Job Title

AI-ML Engineer Hotel Revenue Optimization Ampliphi by Roomaster We are hiring for an AI-ML Engineer to join our growing team at Ampliphi in Toronto! About Us Ampliphi is a hotel revenue optimization platform built by InnQuest. We use AI-driven dynamic pricing to help hotels maximize revenue automatically adjusting room rates based on booking velocity, occupancy forecasts, competitor intelligence, event-based demand surges, and market conditions. Our platform integrates 100+ property management systems and serves hotels across multiple markets. The Role We''''re looking for an AI-ML Engineer who can work across our entire stack, from the dynamic pricing engine and LLM-powered features to the API layer and React dashboard. Your focus will be on building mathematical machine learning models for demand forecasting and price predictions to maximize revenue for hotels using our platform, and you''''ll ship features end-to-end, from model to UI. The successful candidate will be based anywhere within commutable distance of our office in Toronto, working in a hybrid work model! What You''''ll Work On Pricing Engine: Massively improve and extend our multi-factor pricing algorithms (occupancy deviation, pickup velocity, price elasticity, booking curve forecasting, seasonality detection) by leveraging machine learning and mathematical optimization Data Pipelines: Scraping, ingesting, processing, storing, and integrating data with PMS systems for dynamic pricing and decision-making Full Stack Features: Build API endpoints (FastAPI) and frontend components (React/TypeScript) for revenue managers to interact with pricing strategies, overrides, and analytics Infrastructure: Contribute to our AWS architecture (ECS Fargate, SQS, EventBridge, S3, CloudWatch) and help scale the platform as we grow Tech Stack Backend: Python 3.11, FastAPI, SQLAlchemy 2.0, Alembic, PostgreSQL, Redis AI/ML: LangChain, LangGraph, OpenAI GPT-4, Anthropic Claude Data: Pandas, Polars, NumPy, statsmodels, XgBoost Frontend: React, TypeScript (AWS Amplify hosted) Infrastructure: AWS (ECS Fargate, SQS, EventBridge, S3, CloudWatch, ECR), Docker, GitHub Actions CI/CD Observability: Prometheus, Grafana Loki, PostHog About You 3+ years of professional machine learning and software development experience, with a strong background in both backend and frontend engineering Proven expertise in Python development, including async programming, ORMs, and building production-level APIs Handson experience with machine learning, including model development, training, and integration into production systems Indepth understanding and experience applying mathematical optimization techniques, particularly in the context of dynamic pricing and revenue management, within the hospitality industry Experience with algorithm development for complex pricing models (e.g., occupancy deviation, booking velocity, seasonality detection) and predictive analytics Familiarity with large language models (LLMs) like OpenAI, Anthropic, and frameworks such as LangChain or LangGraph to build agentic workflows Strong proficiency in React and TypeScript for building intuitive user-facing features AIassisted development tools are a must, use of tools like Claude Code, GitHub Copilot, or Cursor to streamline development and enhance productivity Proficiency with relational databases, including SQL (PostgreSQL preferred), and solid data modeling skills Experience with AWS cloud services or equivalent cloud platforms and a strong understanding of modern cloud infrastructure Comfortable working with Docker, CI/CD pipelines, and managing production deployments Fluent in English, both written and verbal, is essential Legally authorized to work in Canada Nice to Have Experience with eventdriven architectures (SQS, EventBridge, or similar) Familiarity with Prometheus/Grafana observability stacks Experience building multitenant SaaS platforms What We Value Speed with quality Ship fast, but ship code a staff engineer would approve AInative workflow You don''''t just know about AI tools, you use them daily to write, debug, and architecture Ownership Pick up a problem and drive it to completion without handholding Simplicity Elegant solutions over overengineered ones. Minimal code that does the job Curiosity Our domain (hotel revenue optimization) has real depth. You''''re excited to learn it How to Apply Send us your resume along with a brief note on how you use AI tools in your development workflow. Bonus points if you can share a project where ML and fullstack work came together. For information about Amplifi RMS, please visit our website at www.getampliphi.com We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted. #Ampliphi #J-18808-Ljbffr