Senior AI, Data Solutions Engineer
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Job Description
Senior AI & Data Solutions Engineer developing scalable AI and machine learning solutions at Carrier. Collaborating with cross-functional teams to improve business performance through innovative analytics.
Responsibilities:
- Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value
- Build and maintain robust data pipelines, data models, and enterprise data assets that support reporting, analytics, and AI initiatives
- Partner with business stakeholders to translate requirements into data-driven solutions and actionable insights
- Implement data governance, quality, security, and responsible AI practices to ensure trusted and compliant use of enterprise data
- Support the development and enhancement of AI capabilities through predictive modeling, automation, and continuous innovation
- Play a key role in advancing Carrier's AI and data transformation strategy through innovative analytics and AI solutions
- Support high-visibility, enterprise-scale initiatives and programs that directly impact business performance and decision-making
- Collaborate with global cross-functional teams across business and technology functions to deliver scalable digital solutions
- Contribute to strategic programs with significant business impact while gaining exposure to enterprise data, analytics, and AI leadership initiatives
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or Information Systems field of study
- 8+ years of professional experience in AI/ML, data engineering, data science, or advanced analytics
- Must be a U.S. Citizen or U.S. Permanent Resident
- Hands-on experience developing, validating, and deploying machine learning models and scalable data pipelines within production environments
- Expertise in generative AI, MLOps, Azure AI/Data platforms, and enterprise-scale analytics solutions
- Familiarity with manufacturing, aftermarket, supply chain, or industrial business domains
- Experience delivering AI products from concept through production deployment
- Create complex queries and codes using Python and SQL
- Background working with modern cloud-based data platforms and data engineering tools, supported by effective problem-solving, stakeholder management, and cross-functional collaboration capabilities.
Benefits:
- Medical, Dental, Vision
- Wellness incentives
- Paid vacation days, up to 15 days
- Paid sick days, up to 5 days
- Paid personal leave, up to 5 days
- Paid holidays, up to 13 days
- Birth and adoption leave
- Parental leave
- Family and medical leave
- Bereavement leave
- Jury duty leave
- Military leave
- Purchased vacation
- Short-term and long-term disability
- Life Insurance and Accidental Death and Dismemberment
- Health Savings Account
- Health Care Spending Account
- Dependent Care Spending Account
- Tuition Assistance
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