Senior AI & Data Transformation Engineer

C01 Carrier Corporation

Florida

Hybrid

USD 96.000 - 192.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health Benefits
Retirement Benefits
Paid Vacation
Sick Days
Parental Leave
Life Insurance
Tuition Assistance
Disability

Zusammenfassung

Carrier Global Corporation is seeking an experienced AI/ML and data engineering leader to design, develop, and deploy scalable analytics solutions. You will partner with business stakeholders, translate requirements into data-driven insights, and advance enterprise data assets with robust governance and responsible AI practices.

The role emphasizes production-grade ML models, cloud data platforms, and collaboration across global teams to drive strategic outcomes in a rapidly evolving environment.

Qualifikationen

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or Information Systems.
  • 8+ years of professional experience in AI/ML, data engineering, data science, or advanced analytics.
  • U.S. Citizen or U.S. Permanent Resident required for this role.

Aufgaben

  • Design, develop, and deploy scalable AI, ML, and analytics solutions to drive business value.
  • Build and maintain data pipelines, models, and enterprise data assets for reporting and insights.
  • Translate requirements with stakeholders into data-driven solutions and actionable insights.
  • Ensure data governance, quality, security, and responsible AI practices.

Kenntnisse

AI/ML
Data engineering
Python
SQL

Ausbildung

Bachelor’s degree in Computer Science, Data Science, Engineering, or Information Systems
Master’s Degree in a related field

Tools

Azure AI/Data platforms
Big data tooling

Jobbeschreibung

Carrier Global Corporation is seeking an experienced AI/ML and data engineering leader to design, develop, and deploy scalable analytics solutions. You will partner with business stakeholders, translate requirements into data-driven insights, and advance enterprise data assets with robust governance and responsible AI practices.

The role emphasizes production-grade ML models, cloud data platforms, and collaboration across global teams to drive strategic outcomes in a rapidly evolving environment.

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