Machine Learning Engineer

About Xipper

Xipper is building the next-generation AI-powered operating system for hotels. Our platform combines a Property Management System (PMS), Channel Manager, Guest Experience Platform, Revenue Management, Digital Check-in/Check-out, Payments, Concierge, and AI-powered automation into a single ecosystem.

We're looking for engineers who love solving real-world problems using Machine Learning and AI, and want to build products that thousands of hotels will use every day.

Job Summary

We are looking for a Machine Learning Engineer with 1+ years of hands-on experience building, training, deploying, and maintaining production-ready machine learning models.

You will work closely with our engineering and product teams to build intelligent systems that power hotel operations, including pricing recommendations, occupancy forecasting, guest personalization, fraud detection, anomaly detection, booking intelligence, and operational automation.

This role is ideal for someone who enjoys taking ML models from experimentation to production and wants to work on impactful, real-world AI products.

Key Responsibilities

Design, build, train, evaluate, and deploy Machine Learning models for production.

Collect, clean, preprocess, and analyze structured and unstructured datasets.

Perform feature engineering and feature selection to improve model performance.

Develop prediction models for occupancy, demand forecasting, revenue forecasting, cancellations, and booking trends.

Build recommendation engines for room upgrades, guest personalization, and upselling opportunities.

Develop anomaly detection models to identify unusual booking patterns, pricing issues, operational inconsistencies, or fraudulent activities.

Optimize ML models using hyperparameter tuning, cross-validation, and model evaluation techniques.

Build scalable inference APIs using FastAPI or Flask.

Deploy and maintain ML services using Docker and cloud infrastructure.

Monitor model performance in production and continuously improve model accuracy.

Work closely with Backend Engineers, Product Managers, and Data Engineers to integrate ML models into Xipper's platform.

Write clean, reusable, maintainable, and well-documented code.

Stay updated with the latest developments in Machine Learning, Generative AI, and MLOps.

Required Technical Skills

Python

NumPy

Pandas

Scikit-learn

Linear Regression

Logistic Regression

Decision Trees

Random Forest

Gradient Boosting

XGBoost

LightGBM

CatBoost

Feature Engineering

Hyperparameter Tuning

Cross Validation

Model Evaluation

Data Preprocessing

Backend

FastAPI or Flask

REST API Development

Databases

PostgreSQL

MongoDB

Deployment & DevOps

Docker

AWS (Preferred)

CI/CD Pipelines (Preferred)

Good to Have

PyTorch

TensorFlow

Time Series Forecasting

Recommendation Systems

Clustering Algorithms

NLP fundamentals

Celery & Redis

LangChain

LangGraph

OpenAI APIs

Gemini APIs

Vector Databases

RAG (Retrieval-Augmented Generation)

MLOps concepts

Model Monitoring

Kubernetes (Bonus)

What You'll Build at Xipper

As part of the AI team, you'll work on projects such as:

AI-powered hotel revenue forecasting

Dynamic room pricing recommendations

Occupancy prediction models

Guest personalization and recommendation systems

Booking demand forecasting

Cancellation prediction

Smart hotel automation

Fraud and anomaly detection

Intelligent operational insights

AI-powered assistants for hotel staff

Predictive analytics dashboards

Qualifications

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field (or equivalent practical experience).

Minimum 1 year of hands-on Machine Learning experience.

Experience building and deploying real-world ML applications.

Strong understanding of statistics, probability, and machine learning fundamentals.

Ability to write production-quality Python code.

Good problem-solving and analytical skills.

Strong communication and collaboration skills.

Why Join Xipper?

Build AI products that solve real business problems.

Work with modern Machine Learning and Generative AI technologies.

Own end-to-end ML systems—from experimentation to deployment.

Collaborate with a fast-moving startup team.

Opportunity to work on forecasting, recommendation systems, optimization, and large-scale hotel data.

Significant learning and growth opportunities while building the future of hospitality technology.