Senior Machine Learning Operations Engineer

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

 

The Royal Caribbean Group’s Machine Learning Engineering team has an exciting career opportunity for a full time Senior Machine Learning Operations Engineer reporting to the Manager of Machine Learning Engineering.
 

This position will work on-site in Miramar, Florida.

 

Position Summary

The Machine Learning/ MLOps Engineering team at Royal Caribbean Group is responsible for the successful implementation and iteration of AI/ML solutions including providing architectural guidance and development support. Some of our focus areas include developing reusable frameworks, code optimization and refactoring, scaling up ML solutions, and foreseeing and testing for common issues that may arise in production.

We are looking for a highly capable Senior Machine Learning/ MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects.  

 

Essential Duties and Responsibilities

• Build, maintain, and document machine learning frameworks (python packages) used across multiple projects.  
• Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers.  
• Develop reusable feature stores for rules-based and AI/ML models. 
• Implement monitoring capabilities for model performance and effectiveness in production. 
• Automate CI/CD testing and deployments incorporating MLOps best practices.  
• Perform other duties as required.
• This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position.  Employees will be required to perform any other job-related duties assigned by their supervisor or management

 

Preferred Qualifications

• Master’s or PhD degree in computer science, data science, mathematics, or a related field.
• Experience with sensor data or other noisy data types. 
• Experience with Agile Software Development. 
• Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired. 
• Familiarity with frameworks and languages designed for big-data analytics, including Spark and Azure Data Factory. 
• Experience with MLOps and ML experiment tracking tools, such as Azure DevOps and MLFlow or similar. 
• Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform 
• Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. 

 

Minimum Qualifications, Knowledge, and Skills

• Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field. 
• 5+ years of overall experience in Data Analytics.