AI/ML Developer

About Agilysys

Agilysys has been a leader in hospitality software for more than 40 years, delivering innovative cloud-native SaaS and on-premises guest-centric technology solutions for gaming, hotels, resorts and cruises, corporate foodservice management, restaurants, universities, healthcare, and sports and entertainment. We offer the industry's most comprehensive software solutions, including point-of-sale (POS), property management (PMS), inventory and procurement, payments, and related applications to manage the entire guest journey.

Our commitment to hospitality excellence, broad product offerings, and customer-centric service has made us a trusted partner to some of the world's largest hospitality companies. Through recent major investments in R&D, we've successfully modernized virtually all our longstanding software solutions to help clients improve guest loyalty, drive revenue growth, and increase operational efficiencies. With operations across the Americas, Europe, the Middle East, Africa, Asia-P 

We are seeking a talented and motivated AI/ML Developer to join our dynamic team. In this role, you will design and build machine learning models, forecasting systems, and data-driven intelligent solutions that enhance business operations and drive measurable outcomes.

Key Responsibilities

• Design, develop, and deploy machine learning models for demand forecasting, dynamic pricing, occupancy prediction, and anomaly detection using Python and Azure ML.
• Develop and maintain end-to-end ML pipelines — from data ingestion and feature engineering through model training, evaluation, and production deployment on Azure ML.
• Collaborate with product and engineering teams to translate business problems into well-defined ML problem statements with measurable success criteria.
• Integrate trained models into backend APIs for real-time and batch inference consumption by product features.
• Apply statistical analysis and exploratory data analysis to identify trends, correlations, and feature importance across large hospitality datasets.
• Build and manage experiment tracking, model versioning, and performance monitoring pipelines.
• Implement model retraining strategies and drift detection to maintain model accuracy over time in production environments.
• Work with Azure data services to prepare, manage, and version training datasets at scale.
• Document model architecture, feature engineering decisions, evaluation metrics, and deployment processes to ensure reproducibility and maintainability.

Required Skills

• Languages: Python (primary) with C# for API integration
• Machine Learning: Strong working knowledge of supervised learning, unsupervised learning, and ensemble methods across regression, classification, and clustering problem types
• Forecasting: Hands-on experience with statistical and deep learning approaches to time-series forecasting
• MLOps: Experience with Azure ML and experiment tracking tools for model registry, versioning, and automated retraining pipelines
• Data: Strong proficiency with data manipulation, feature engineering, and SQL across large, structured datasets
• Cloud: Azure platform experience including compute, storage, and data pipeline services
• Statistics: Solid foundation in probability theory, hypothesis testing, and regression analysis

Preferred Qualifications

• Experience in a similar ML or data science role within the technology or hospitality industry.
• Exposure to natural language processing for sentiment analysis or guest feedback modeling.
• Hands-on experience with feature stores, A/B testing frameworks, or online learning systems.
• Knowledge of distributed data processing and cloud-scale data engineering practices.