Machine Learning Operations Engineer

3 weeks ago

Miami, United States Royal Caribbean Group Full time

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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 Machine Learning Operations Engineer reporting to the Manager, Machine Learning Engineering.

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

Position Summary

The Machine Learning Engineer 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. As a ML/MLOps Engineer 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.
  • Build and maintain machine learning frameworks (python packages) used across multiple projects.
  • Develop reusable data and feature stores for rules-based and AI/ML models.
  • Develop alerting tool frameworks for monitoring productionized 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 software engineering, 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 ML Ops.
  • Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
  • Experience creating python packages
  • 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. 

Preferred Requirements

  • Master’s or PhD degree in computer science, data science, mathematics, or a related field.
  • Experience with Agile Software Development.
  • 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.

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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