Senior AI & Data Transformation Engineer

C01 Carrier Corporation; Florida; Hybrid; USD 96,000 - 192,000; Full time

Benefits offered by this job

Health Benefits

Retirement Benefits

Paid Vacation

Sick Days

Parental Leave

Life Insurance

Tuition Assistance

Disability

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

AI/ML

Data engineering

Python

SQL

Education

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

Job description

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.