Staff ML Engineer: Revenue-Driven ML Lead (Remote)

Cloudbeds; Lisboa; Presencial; EUR 78 822 - 105 097; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote First, Remote Always

PTO in accordance with local labor requirements

Monthly Wellness Fridays — extra long weekend each month

Full Paid Parental Leave

Home office stipend based on country of residency

Professional development through Cloudbeds University

Resumo da oferta

Cloudbeds is transforming hospitality with an AI-powered platform and seeks a Staff Machine Learning Engineer. In this fully remote role, you will develop and implement features to optimize revenue management for lodging customers using advanced machine learning techniques.

The ideal candidate will have over 5 years of experience in machine learning roles, utilizing tools like AWS and SageMaker, and showcasing strong software engineering practices. Join us and help innovate in the hospitality sector!

Qualificações

• 5+ years of experience in a machine learning role with success in ML engineering.
• Experience designing and implementing ML testing strategies.
• Strong understanding of ML principles and deploying ML models at scale.

Responsabilidades

• Build and implement features for data-driven pricing decisions in revenue management.
• Collaborate with product and engineering teams to identify opportunities.
• Establish robust ML practices and rigorous testing across the ML lifecycle.

Conhecimentos

Architectural Expertise

Deep MLOps Proficiency

Software Engineering Rigor

Technical Strategy

Leadership

Domain Knowledge

Formação académica

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field

Ferramentas

SageMaker

Docker

Kubernetes

Apache Airflow

AWS

Descrição da oferta de emprego

Cloudbeds is transforming hospitality with an AI-powered platform and seeks a Staff Machine Learning Engineer. In this fully remote role, you will develop and implement features to optimize revenue management for lodging customers using advanced machine learning techniques.

The ideal candidate will have over 5 years of experience in machine learning roles, utilizing tools like AWS and SageMaker, and showcasing strong software engineering practices. Join us and help innovate in the hospitality sector!