Senior AI Forward‑Deployed Engineer (Production Apps)

Carnival Corporation & plc

Miami (FL)

Vor Ort

USD 130.000 - 160.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Cruise and Travel Privileges
Health Benefits
401(k)
Employee Stock Purchase Plan
Tuition Reimbursement

Zusammenfassung

Carnival Corporation & plc is seeking a Principal AI Forward Deployed Engineer to develop and implement AI-powered applications across business units. This role demands extensive experience in software engineering, specifically in backend development and AI/ML deployment. You will lead projects that significantly enhance operational efficiency, working closely with stakeholders to deliver tangible outcomes.

The ideal candidate will have substantial experience with tools like Docker and Kubernetes, along with a strong technical education. This full-stack engineering position balances technical execution with strategic business objectives.

Qualifikationen

  • 6-8+ years of software engineering experience with a focus on backend/full-stack development.
  • 4+ years deploying AI/ML solutions in production environments.
  • Strong hands-on experience with Docker and Kubernetes.

Aufgaben

  • Architect, build, and deploy enterprise-grade AI-powered applications.
  • Rapidly build proof-of-concept applications to validate approaches.
  • Communicate complex technical concepts to non-technical audiences.

Kenntnisse

Backend/full-stack development
AI/ML solution deployment
Docker
Kubernetes
Python
Node.js

Ausbildung

Bachelor’s degree in Computer Science, Software Engineering, Data Science

Tools

AWS
Kafka

Jobbeschreibung

Carnival Corporation & plc is seeking a Principal AI Forward Deployed Engineer to develop and implement AI-powered applications across business units. This role demands extensive experience in software engineering, specifically in backend development and AI/ML deployment. You will lead projects that significantly enhance operational efficiency, working closely with stakeholders to deliver tangible outcomes.

The ideal candidate will have substantial experience with tools like Docker and Kubernetes, along with a strong technical education. This full-stack engineering position balances technical execution with strategic business objectives.

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