Senior Engineer, Machine Learning Operations

Senior Engineer, MLOps

Location: Miami, Florida (onsite)
Employment Type: Full‑time
Work Authorization: Not eligible for sponsorship

About Royal Caribbean Group

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

We are the vacation‑industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

The AI & Analytics Team has an exciting career opportunity for a full‑time Senior Engineer, MLOps reporting to the Manager, ML Engineering.

Position Summary

The ML Engineering team at Royal Caribbean Group is responsible for architecting the productionalized solution around rules‑based and AI/ML models to integrate predictions seamlessly into the business processes, ensuring governance, resiliency, explainability, reproducibility, and scalability of the models. We are looking for a highly capable ML Platform Engineer to optimize rules‑based and machine learning systems. As an engineer for the ML platform, you will be working at the intersection of machine learning, DevOps, and data engineering (i.e., MLOps).

Essential Duties and Responsibilities

• Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.
• Transform business and data science prototypes and apply appropriate algorithms and tools.
• Solve complex problems with multi‑layered data sets, as well as optimize existing machine learning libraries and frameworks.
• Develop reusable data and feature stores for rules‑based and AI/ML models.
• Develop alerting tool frameworks for monitoring productionalized model performance and effectiveness.
• Automate deployments incorporating MLOps best practices into productionalized solutions.
• Document frameworks and machine‑learning processes.

Qualifications, Knowledge, and Skills

• Bachelor's degree in computer science, data science, mathematics, or a related field.
• 5+ years of overall experience in Data Analytics.
• 2+ years of experience with ML Engineering and/or MLOps.
• 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 when needed.
• Proficiency in Python and experience with common data analytics packages (e.g., Numpy, Pandas, Sklearn, PySpark).
• Proficiency in SQL.
• Good communication skills and the ability to understand and synthesize requirements across multiple project domains.
• Works effectively with cross‑functional teams.

Preferred Qualifications, Knowledge, and Skills

• Master's or PhD degree in computer science, data science, mathematics, or a related field.
• 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 frameworks or APIs, such as Microsoft Azure, Amazon Web Services, and/or Google Cloud Platform.
• Familiarity with different data science techniques: statistics, machine learning, or cognitive AI.

Application Notes

• Agency and third‑party submissions: This is a direct search by the Company. Applications through agencies and other third parties will not be accepted, nor will fees be paid for unsolicited resumes. Any unsolicited resumes will be considered the Company's property.

Equal Employment Opportunity

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.