Note: The job is a remote job and is open to candidates in USA. Carrier is a global provider of intelligent climate and energy solutions. The Senior AI & Data Solutions Engineer will design, develop, and deploy scalable AI, machine learning, advanced analytics, data pipelines, and enterprise data assets while partnering with stakeholders to deliver trusted, compliant, and actionable data-driven solutions. The role supports enterprise-scale AI and data transformation initiatives and collaborates with global cross-functional teams.
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
- Provide opportunities to work with modern AI, machine learning, cloud, and data engineering technologies in a rapidly evolving environment
- Contribute to strategic programs with significant business impact while gaining exposure to enterprise data, analytics, and AI leadership initiatives
Skills
- 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
- This role can work anywhere in the US
- Master's Degree
- 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
- Remote work
- Short-term cash incentives, subject to plan requirements
- Medical benefits
- Dental benefits
- Vision benefits
- Wellness incentives
- Retirement benefits
- 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 disability
- Long-term disability
- Life insurance
- Accidental Death and Dismemberment insurance
- Health Savings Account
- Health Care Spending Account
- Dependent Care Spending Account
- Tuition assistance
Company Overview