Machine Learning Engineer
Core
Building and maintaining scalable machine learning models and data architecture to drive real-time decisions for hospitality brands via mobile apps and operational systems.
Role type
Senior Machine Learning Engineer (Production & Data Systems)
Builds
Production-grade ML models, data pipelines, and AI systems for demand forecasting and service quality monitoring.
Domain
Hospitality technology, real-time decision systems, cloud infrastructure.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, machine learning (supervised/unsupervised), data modeling, database design, ML Ops, data engineering, AWS (SageMaker, Lambda), ETL processes, CI/CD.
Preferred skills
Backend development (Python/Django, Go), data lakes/warehousing, Terraform, Apache Airflow, computer vision, optimization algorithms.
Responsibilities
Designing and implementing data architecture to optimize storage and processing; developing ETL processes to ingest data from APIs; collaborating with data scientists and engineers to define data needs; creating and maintaining data documentation and monitoring pipeline performance.
Seniority
Senior, hands-on IC