Data Engineer Applied AI and ML
Data Engineer Applied AI and ML
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1 Vacancy
Job Description
Universal Orlando Resort believes inperson collaboration is key to our success. Many of our Team Members work in a hybrid capacity contributing from the workplace a minimum of three days per week. There are also roles that require being onsite full time. Limited remote opportunities may be available within specific departments. Youll learn more about this during the recruitment process.
JOB SUMMARY:
The Data Engineer will collaborate closely with a team of skilled data scientists and AI/ML engineers to develop innovative solutions that enhance guest experiences at our destinations and boost engagement with our digital products. This role requires a solid background in computer science data engineering and technology. The Data Engineer will play a crucial role in ensuring that our AI/ML models have access to the highquality realtime data they need for training validation and deployment. Key responsibilities include ensuring seamless data integration across systems optimizing data workflows and automating ETL processes. The role also involves monitoring data pipelines ensuring data quality and implementing best practices in data governance and performance optimization.
MAJOR RESPONSIBILITIES:
AI/ML Data Enablement
- Collaborate with data scientists and AI/ML engineers to design build and maintain scalable data pipelines that support the development of machine learning systems focused on personalization and innovation.
- Develop and optimize ETL processes to ensure efficient data flow from multiple sources into AI/ML systems ensuring the data is clean consistent and available in realtime.
- Work with large datasets transforming raw data into structured usable formats for model training validation and deployment.
- Ensure seamless data integration across various platforms and systems to meet the requirements of AI/ML applications in production environments.
AI/ML Data Operations
- Monitor data pipelines for performance and reliability identifying and troubleshooting any issues while optimizing processes for scalability and efficiency.
- Establish and uphold best practices for data governance including security compliance and data quality.
- Support model performance tracking by ensuring relevant data is readily accessible and usable in production environments facilitating realtime analytics.
Documentation and Best Practices
- Create and maintain detailed documentation for all data pipelines ETL processes and integration workflows to ensure clarity and transparency for future development and troubleshooting.
- Develop and enforce data management standards and guidelines including version control naming conventions and access protocols.
- Collaborate with team members to ensure adherence to industry best practices in data engineering and ensure all stakeholders understand the data lifecycle usage and availability.
- Regularly review and update data documentation to reflect changes in data sources transformations and pipeline architecture.
- Understands and actively participates in Environmental Health & Safety responsibilities by following established UO policy procedures training and team member involvement activities.
- Performs other duties as assigned.
EDUCATION:
- Bachelors degree in Computer Science Engineering Data Science or in a relevant applied quantitative field is required.
- Masters degree is preferred.
EXPERIENCE:
- 3 years of handson experience in data engineering or data science working with crossfunctional teams to implement data and ML/AI solutions in realworld applications;
- or equivalent combination of education and experience.
Your talent skills and experience will be rewarded with a competitive compensation package.
Universal Orlando Resort. Here you can.
Employment Type
Full-Time
