Overview
On Site
Contract - W2
Skills
Management
Computer Science
Data Engineering
Advanced Analytics
Artificial Intelligence
Machine Learning (ML)
Python
SQL
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Communication
Collaboration
JD
DICE
Job Details
Job Title: AI Data Engineer / Consultant
Client: Orlando Based / Travel / Leisure Industry
Location: Orlando, FL (Onsite for 6+ months, potential hybrid/remote after)
Employment Type: Contract-to-Hire (6 or 12-month conversion option)
Overview:
Our client is building a next-generation AI-driven guest itinerary platform that leverages the clients' vast customer data to create fully personalized vacation experiences. The goal is to transform how guests book timeshares - not only reserving their stay but also seamlessly recommending restaurants, activities, and excursions tailored to their preferences.
To achieve this vision, the client is forming a high-impact 10-person AI pod team. As an AI Data Engineer / Consultant, you will play a key role in architecting and delivering the data infrastructure that powers these intelligent guest experiences.
Key Responsibilities:
#Dice
Client: Orlando Based / Travel / Leisure Industry
Location: Orlando, FL (Onsite for 6+ months, potential hybrid/remote after)
Employment Type: Contract-to-Hire (6 or 12-month conversion option)
Overview:
Our client is building a next-generation AI-driven guest itinerary platform that leverages the clients' vast customer data to create fully personalized vacation experiences. The goal is to transform how guests book timeshares - not only reserving their stay but also seamlessly recommending restaurants, activities, and excursions tailored to their preferences.
To achieve this vision, the client is forming a high-impact 10-person AI pod team. As an AI Data Engineer / Consultant, you will play a key role in architecting and delivering the data infrastructure that powers these intelligent guest experiences.
Key Responsibilities:
- Design, develop, and optimize scalable data pipelines to support AI/ML applications.
- Integrate and prepare structured/unstructured client data for personalization engines.
- Collaborate with Product Managers and Engineers to deploy AI models that drive itinerary recommendations.
- Work across the full lifecycle - from vision and strategy to execution and delivery.
- Fill technical and operational gaps to ensure team success.
- Communicate effectively across multiple "modes of conversation" - from sensitive discussions to direct, action-oriented feedback.
- Bachelor's degree in Computer Science, Data Engineering, or related field.
- 1-5 years of experience in data engineering, advanced analytics, or AI/ML systems.
- Proficiency in Python, SQL, and cloud platforms (Azure, AWS, or Google Cloud Platform).
- Experience handling large-scale customer datasets.
- Strong communication and collaboration skills; ability to work with both technical and non-technical teams.
- Self-starter who thrives in fast-paced, innovative environments.
#Dice
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