ML/Ops Engineer
Royal Caribbean International
Contract Miami , Florida, United States Posted 1 year ago
About Position
ML/Ops Engineer (Contract)
$75.00 / Hourly
Miami , Florida, United States
ML/Ops Engineer
Contract Miami , Florida, United States Posted 1 year ago
Skills
Convert and consolidate existing Revenue Management solutions into a reusable cross-branded framework / python package. Including documentation and testing of package functions. Automate production deployments incorporating MLOps best practices. Developing alerting tool frameworks for monitoring production model performance and effectiveness. Required Skills 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 a python package 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. Good communication skills and the ability to understand and synthesize requirements across multiple project domains.Description
The ML Engineering team at Royal Caribbean Group is responsible for architecting the production sized 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 MLOps Engineer or ML Engineer with Software Engineering background to optimize and refactor rules-based and machine learning systems built on Databricks and Azure Data Factory.
Responsibilities
- Bachelor's degree in computer science, software engineering or similar combination of training and experience.
- Required Years of Experience
- 5+ years of overall experience in Data Analytics.
- 2+ years of experience with ML Engineering and/or ML Ops.
Educational Requirements
- Experience with Agile Software Development.
- Experience in a large corporation or consulting firm
- Experience with IoT and/or sensor data.
- Masters degree in computer science, data science, mathematics, or a related field.
- Desired Years of Experience
- 7+ years of overall experience in Data Analytics.
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