Join our Machine Learning/MLOps Engineering team at Royal Caribbean Group, where innovation meets adventure! We are on the lookout for a Senior Machine Learning Operations Engineer with a solid background in Software Engineering and DevOps to help us develop and scale AI/ML solutions that elevate our business. If you're passionate about optimizing AI in production environments and building frameworks that make an impact, this is your opportunity to be part of something transformative.

Your Mission:As a Senior MLOps Engineer, you’ll play a key role in embedding AI solutions into real-world projects, ensuring they thrive in production. You’ll be collaborating with cross-functional teams—Data Scientists, Business Stakeholders, Analysts, and Data Engineers—to create reusable frameworks, optimize code, implement automated CI/CD testing, and ensure smooth deployment processes. You’ll be at the helm of building sustainable machine learning systems that not only drive performance but also ensure the long-term success of our projects.

Key Responsibilities:

• Architect & Build: Develop, maintain, and document reusable machine learning frameworks (Python packages) that streamline multiple projects across the company.
• Collaborate with Teams: Support diverse teams, including data scientists, business stakeholders, and analysts, to help guide projects from conceptualization to execution.
• Model Performance: Implement monitoring systems to assess model performance in production, ensuring effectiveness and efficiency.
• Automate & Scale: Spearhead the automation of CI/CD testing and deployments, applying MLOps best practices to ensure smooth, scalable solutions.
• Innovate: Continuously optimize and refactor code for enhanced performance, testing for common issues that may arise in production and developing solutions to resolve them.

Preferred Qualifications:

• Master’s or PhD in Computer Science, Data Science, Mathematics, or a related field.
• Experience working with sensor data or other noisy data types.
• Strong background in Agile Software Development and experience within a large corporation or consulting firm.
• Familiarity with big-data analytics frameworks like Spark and Azure Data Factory.
• Hands-on experience with MLOps tools such as Azure DevOps, MLFlow, or similar.
• Proficiency in cloud computing services (Azure, AWS, Google Cloud Platform).
• Knowledge of data science techniques, including statistics, machine learning, and cognitive AI.

Minimum Qualifications:

• Bachelor’s degree in Software Engineering, Computer Science, Data Science, Mathematics, or a related field.
• 5+ years of overall experience in Data Analytics, with at least 3 years in ML Engineering and/or MLOps.
• Ability to develop scalable machine learning systems and build data-driven products in collaboration with cross-functional teams.
• Solid experience with Python packages (e.g., Numpy, Pandas, Sklearn, PySpark).
• Proficient in SQL and have a strong understanding of version control, object-oriented programming, and other essential software engineering skills.

Why Royal Caribbean Group?Set sail with a company that is more than just a cruise line! We are a global leader in the travel and leisure industry, and we embrace cutting-edge technology to enhance our operations and customer experience. Join our team and embark on an exciting journey where your work will have a direct impact on the success of our AI/ML projects. Plus, you'll be part of a dynamic and diverse team that values innovation and fosters a collaborative environment.

Perks of the Voyage:

• A forward-thinking, inclusive work environment where innovation thrives.
• Opportunities for growth and career development across a global organization.
• Competitive compensation and benefits packages.

At Royal Caribbean Group, we’re committed to fostering a workplace free from discrimination, where every voice matters. We encourage applicants of all backgrounds to apply and join our exceptional team.

Ready to Set Sail?If you are driven by innovation and ready to take your career to the next level, we want to hear from you! Apply today and join us on this exciting adventure.

Nearest Major Market: Miami