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Carrier
Technical Specialist - AI
Carrier
Hyderabad•On-site•10-13 Yrs•3 days ago
Job description
Technical SpecialistAIMachine LearningDigital Solutions
Overview
We are looking for a Technical Specialist – Aftermarket AI & Digital Solutions to develop and implement AI-powered solutions that enhance Carrier's aftermarket service operations.
Responsibilities
- 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.
- Support application monitoring, maintenance, and performance optimization.
- Analyze IoT, equipment, warranty, and service data to develop predictive models and AI insights.
- Build data preparation and feature engineering workflows.
- Work with data engineering teams to ensure reliable data pipelines for AI applications.
- Support analytics and reporting initiatives to improve operational decision-making.
- Work closely with aftermarket business teams, engineering, and product owners to understand business needs.
- Participate in technical design discussions and solution reviews.
- Mentor junior engineers and share technical knowledge within the team.
- Stay informed about emerging AI technologies and industry trends relevant to aftermarket services.
Qualifications
- 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.
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field
Benefits
- Competitive benefits programs
- Health insurance
- Flexible schedules and leave Policy
- Professional development opportunities
- Employee Assistance Program