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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI-powered solutions, with a strong focus on predictive maintenance, warranty analytics, and intelligent automation. Proficient in leveraging cloud services such as Azure, AWS, or GCP to enhance operational efficiency and deliver business value.
Highest-signal resume keywords
AI/ML Solution DevelopmentPython ProgrammingPredictive AnalyticsCloud Services (Azure, AWS, GCP)MLOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solution DevelopmentMachine LearningGenerative AIPredictive MaintenanceWarranty AnalyticsData EngineeringAPI DevelopmentAutomation SolutionsScalable Software ComponentsIntelligent Automation
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
AzureAWSGoogle Cloud PlatformMLOpsConnected Technologies
Industry Keywords
Aftermarket ServicesService OperationsField Service OperationsService DiagnosticsSpare Parts Optimization
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformIoTPython
About the role
Key responsibilities & impact- develop and implement AI-powered solutions that enhance Carrier's aftermarket service operations
- apply AI, Machine Learning, analytics, and connected technologies to improve predictive maintenance, warranty analytics, field service operations, and customer support.
- work closely with engineering, digital, and business teams to develop scalable AI applications that improve operational efficiency and deliver measurable business value.
- design and develop AI solutions supporting predictive maintenance, warranty analytics, service diagnostics, and spare parts optimization.
- build intelligent applications using Machine Learning, Generative AI, and Agentic AI technologies.
- develop AI-powered assistants and automation solutions for service and support teams.
- support deployment and continuous improvement of production AI applications.
- develop scalable software components and APIs for AI-enabled applications.
- integrate AI solutions with enterprise platforms and connected equipment ecosystems.
- collaborate with cloud and platform teams to deploy AI applications using Azure, AWS, or GCP.
- analyze IoT, equipment, warranty, and service data to develop predictive models and AI insights.
- mentor junior engineers and share technical knowledge within the team.
- stay informed about emerging AI technologies and industry trends relevant to aftermarket services.
Requirements
What you’ll need- 10–14 years of experience in software engineering, AI/ML, analytics, or digital engineering.
- Experience developing AI/ML or Generative AI solutions using Python.
- Knowledge of predictive analytics, LLMs, RAG, and intelligent automation.
- Experience with Azure, AWS, or Google Cloud services.
- Familiarity with MLOps, AI deployment, and cloud-native application development.
- Understanding of data engineering concepts and modern software development practices.
- Experience working with engineering, manufacturing, or service domain data is preferred.
- Strong communication, collaboration, and problem-solving skills.
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
Benefits
Comp & perks- health insurance
- flexible schedules and leave Policy
- professional development opportunities
- Employee Assistance Program