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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 Platform Engineer reporting to the Manager of Machine Learning Engineering.

This position will work on-site in Miramar Florida.

Position Summary

The ML Engineering team at Royal Caribbean Group is responsible for architecting and supporting the productionalized solution around AI/ML models to integrate predictions seamlessly into the business processes, ensuring resiliency, explainability, reproducibility, and scalability of the models and code. We are looking for a highly capable ML Platform Engineer or MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior ML Engineer, you will (1) be supporting many small to medium sized AI/ML projects partnering closely with data scientists, data engineers, and business stakeholders on the projects as needed; and (2) have centralized responsibilities to create broader AI capabilities for the Data Science team including GenAI. 

  
 Essential Duties and Responsibilities

• Build and maintain reusable codebases by enhancing existing python packages and create new ones. 

• Drive new AI capabilities for the alphaPlatform including: GenAI, OpenAI, DBRX, Mosaic ML and others. 

• Create standards and drive the Center of Excellence to govern the use of GenAI tech stack.  

• Automate production deployments incorporating MLOps best practices. 

• Develop alerting tool frameworks for monitoring production model performance and effectiveness. 

• Maintain and enhance the internal Azure OpenAI website used across the company.  

• Maintain an internal-facing static website for the AI organization. 

Qualifications, Knowledge, and Skills

• Bachelor's degree in computer science, software engineering or similar combination of training and experience. 

• 5+ years of overall experience in Data Analytics. 

• 3+ years of experience with ML Engineering and/or ML Ops. 

• 1+ years of experience building or maintaining websites.  

• Experience building scalable machine learning systems and data-driven products working with cross-functional teams. 

• Well-developed software engineering fundamentals, including use of proper development, QA, and production environments, and the ability to write production-level code. 

• Experience creating python packages 

• Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). 

• Proficiency in Databricks, Azure Data Factory, and MLFlow. 

• Proficiency in SQL. 

• Basic proficiency of ReactJS and NodeJS or ability to learn quickly. 

• Experience serving containerized solutions in the cloud. 

• Good communication skills and the ability to understand and synthesize requirements across multiple project domains. 

• Works effectively with cross-functional teams. 

Preferred Qualifications

• Masters degree in computer science, data science, mathematics, or a related field. 

• 7+ years of overall experience in Data Analytics. 

• Experience with Agile Software Development. 

• Experience in a large corporation or consulting firm 
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We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.

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