Why This Role Stands Out
This hybrid AI Engineer role offers an exciting opportunity to build and scale impactful AI-powered recommendation products for a leading cruise line, driving significant business outcomes and guest personalization. You will thrive here if you are a mid-senior level engineer eager to translate AI/ML models into robust production applications, working with a dynamic team to evolve innovative solutions. Apply now to leverage your expertise in Python and Databricks within a collaborative environment that values impactful contributions and offers competitive hourly compensation.
Quick Overview
Salary
$70 - $80/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
FL, United States
Posted
2 days ago
Machine LearningDatabricksGitPython
Job Description
AI Engineer
Miami, FL
Hybrid Role
$70 - $80 per hour
ABOUT THE ROLE
Our client, a leading enterprise cruise line, is seeking a Senior AI Engineer to join their growing team in Miami, FL. This role is focused on building and scaling AI-powered recommendation products that drive guest personalization, pricing, and revenue optimization. As a Senior AI Engineer, you will operate at the intersection of AI/ML and software engineering, leveraging your expertise to turn models and prototypes into robust, scalable production applications. You will play a key role in evolving recommendation-engine initiatives from early-stage solutions and MVPs into enterprise-grade products used across the business. This is an exciting opportunity to collaborate with cross-functional teams, drive the evolution of AI products, and make a significant impact on the guest experience and business outcomes.
WHAT YOU'LL DO
Miami, FL
Hybrid Role
$70 - $80 per hour
ABOUT THE ROLE
Our client, a leading enterprise cruise line, is seeking a Senior AI Engineer to join their growing team in Miami, FL. This role is focused on building and scaling AI-powered recommendation products that drive guest personalization, pricing, and revenue optimization. As a Senior AI Engineer, you will operate at the intersection of AI/ML and software engineering, leveraging your expertise to turn models and prototypes into robust, scalable production applications. You will play a key role in evolving recommendation-engine initiatives from early-stage solutions and MVPs into enterprise-grade products used across the business. This is an exciting opportunity to collaborate with cross-functional teams, drive the evolution of AI products, and make a significant impact on the guest experience and business outcomes.
WHAT YOU'LL DO
- Design, build, and enhance production-grade AI-powered recommendation systems
- Translate AI/ML models and prototypes into scalable, reliable software solutions
- Develop production-quality applications and services, primarily using Python
- Build and operationalize AI/ML solutions within Databricks environments
- Develop and maintain CI/CD pipelines, deployment processes, and version-control practices
- Integrate LLMs, predictive models, business logic, and behavioral data into recommendation workflows
- Utilize AI-assisted development tools and coding agents to accelerate engineering and problem solving
- Collaborate with AI Engineers, Data Scientists, and business stakeholders to translate business objectives into technical solutions
- Improve system scalability, reliability, maintainability, and performance as AI products mature
- Independently troubleshoot problems and drive technical solutions from concept through production
- 4-5+ years of relevant software, AI/ML, or data engineering experience with demonstrated senior-level engineering maturity
- Strong Python development skills and experience writing production-quality code
- Hands-on experience building and operationalizing AI/ML solutions in production
- Experience with Databricks and modern data/AI environments
- Strong understanding of software engineering fundamentals, including CI/CD, automated deployment pipelines, Git/source control, testing, modular design, and production monitoring
- Experience integrating machine learning models into applications, services, or production workflows
- Ability to independently solve ambiguous technical problems and align solutions with business objectives
- Strong written and verbal communication skills
- Experience building recommendation engines, personalization platforms, or propensity models (preferred)
- Experience combining LLMs with traditional machine learning and business-rule systems (preferred)
- Understanding of Data Science workflows and common ML modeling approaches (preferred)
- Experience scaling prototypes or MVPs into enterprise-grade applications (preferred)
- Experience with cloud-based AI architectures and APIs/services for production ML applications (preferred)
- Familiarity with coding agents and AI-assisted development tools (preferred)
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