Technical Specialist
Carrier · Hyderabad · onsite · Posted 28d ago
Not disclosed15–20 yrsfulltimeSourced from
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About this role
Job Title – Technical Specialist
Preferred Location - Hyderabad, India
Full time/Part Time - Full Time
Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
Summary
Applied AI Specialist– Aftermarket AI & Digital Solutions to lead the development of AI-enabled digital solutions that enhance Carrier's aftermarket service business. This role focuses on applying AI, analytics, and connected technologies to improve service operations, predictive maintenance, field service efficiency, customer experience, warranty analytics, and aftermarket growth.
The ideal candidate will combine technical expertise with domain knowledge to deliver scalable AI solutions that create measurable business value across Carrier's global aftermarket organization.
AI Solution Development
Design, develop, and deploy AI/ML, Generative AI, and intelligent automation solutions for engineering and business applications.
Build enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
Develop AI-powered assistants, copilots, and workflow automation solutions.
Evaluate and optimize AI models for accuracy, scalability, and production readiness.
Software Engineering
Develop scalable backend services, APIs, and microservices using Python.
Write clean, maintainable, and well-documented code following software engineering best practices.
Participate in design reviews, code reviews, testing, and debugging activities.
Contribute to reusable frameworks and shared AI components.
Cloud & AI Platform Development
Develop and deploy AI applications on Azure, AWS, or Google Cloud platforms.
Integrate AI services with enterprise applications and cloud-native solutions.
Support containerization, orchestration, and CI/CD processes for AI workloads.
Collaborate with MLOps teams to deploy, monitor, and maintain AI models.
Data Engineering & Analytics
Work with structured and unstructured data to support AI model development.
Build and maintain data preparation and feature engineering pipelines.
Support model monitoring, evaluation, and continuous improvement.
Collaborate with data engineering teams to ensure high-quality data for AI applications.
Technical Collaboration
Partner with product owners, architects, data engineers, and business teams to understand requirements and deliver AI solutions.
Provide technical guidance to junior engineers and contribute to knowledge-sharing initiatives.
Stay updated on emerging AI technologies, tools, and engineering best practices.
Required Skills & Qualifications
15–20 years of experience in software engineering, AI/ML, or data engineering.
Strong programming skills in Python and experience with object-oriented design principles.
Hands-on experience with Machine Learning, Generative AI, and Large Language Models (LLMs).
Experience with AI frameworks such as LangChain, LangGraph, Hugging Face, TensorFlow, or PyTorch.
Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
Experience With Azure, AWS, Or Google Cloud AI Services.
Familiarity with Docker, Kubernetes, REST APIs, Git, and CI/CD pipelines.
Understanding of MLOps practices, model deployment, and AI lifecycle management.
Strong Analytical, Problem-solving, And Communication Skills.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
Benefits
We offer a competitive total rewards package that may include other benefits and well‑being programs. Offerings vary by role and location and are designed to support employees health, security, and success.
Equal Treatment and Non-Discrimination
Carrier is committed to equal treatment and non-discrimination principles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability, or any other applicable protected class.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at [HIDDEN TEXT] will make every effort to meet your needs in accordance with applicable laws.
Job Applicant Privacy Notice
Please review Carrier's Job Applicant Privacy Notice ,
Use of AI in Recruitment
Technology enabled tools may support parts of the recruitment process, with oversight by people.
Apply Now!
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice
Click on this link to read the Job Applicant's Privacy Notice
Preferred Location - Hyderabad, India
Full time/Part Time - Full Time
Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
Summary
Applied AI Specialist– Aftermarket AI & Digital Solutions to lead the development of AI-enabled digital solutions that enhance Carrier's aftermarket service business. This role focuses on applying AI, analytics, and connected technologies to improve service operations, predictive maintenance, field service efficiency, customer experience, warranty analytics, and aftermarket growth.
The ideal candidate will combine technical expertise with domain knowledge to deliver scalable AI solutions that create measurable business value across Carrier's global aftermarket organization.
AI Solution Development
Design, develop, and deploy AI/ML, Generative AI, and intelligent automation solutions for engineering and business applications.
Build enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
Develop AI-powered assistants, copilots, and workflow automation solutions.
Evaluate and optimize AI models for accuracy, scalability, and production readiness.
Software Engineering
Develop scalable backend services, APIs, and microservices using Python.
Write clean, maintainable, and well-documented code following software engineering best practices.
Participate in design reviews, code reviews, testing, and debugging activities.
Contribute to reusable frameworks and shared AI components.
Cloud & AI Platform Development
Develop and deploy AI applications on Azure, AWS, or Google Cloud platforms.
Integrate AI services with enterprise applications and cloud-native solutions.
Support containerization, orchestration, and CI/CD processes for AI workloads.
Collaborate with MLOps teams to deploy, monitor, and maintain AI models.
Data Engineering & Analytics
Work with structured and unstructured data to support AI model development.
Build and maintain data preparation and feature engineering pipelines.
Support model monitoring, evaluation, and continuous improvement.
Collaborate with data engineering teams to ensure high-quality data for AI applications.
Technical Collaboration
Partner with product owners, architects, data engineers, and business teams to understand requirements and deliver AI solutions.
Provide technical guidance to junior engineers and contribute to knowledge-sharing initiatives.
Stay updated on emerging AI technologies, tools, and engineering best practices.
Required Skills & Qualifications
15–20 years of experience in software engineering, AI/ML, or data engineering.
Strong programming skills in Python and experience with object-oriented design principles.
Hands-on experience with Machine Learning, Generative AI, and Large Language Models (LLMs).
Experience with AI frameworks such as LangChain, LangGraph, Hugging Face, TensorFlow, or PyTorch.
Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
Experience With Azure, AWS, Or Google Cloud AI Services.
Familiarity with Docker, Kubernetes, REST APIs, Git, and CI/CD pipelines.
Understanding of MLOps practices, model deployment, and AI lifecycle management.
Strong Analytical, Problem-solving, And Communication Skills.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
Benefits
We offer a competitive total rewards package that may include other benefits and well‑being programs. Offerings vary by role and location and are designed to support employees health, security, and success.
Equal Treatment and Non-Discrimination
Carrier is committed to equal treatment and non-discrimination principles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability, or any other applicable protected class.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at [HIDDEN TEXT] will make every effort to meet your needs in accordance with applicable laws.
Job Applicant Privacy Notice
Please review Carrier's Job Applicant Privacy Notice ,
Use of AI in Recruitment
Technology enabled tools may support parts of the recruitment process, with oversight by people.
Apply Now!
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice
Click on this link to read the Job Applicant's Privacy Notice
Sourced from foundit
Skills
DockerKubernetesRetrieval Augmented GenerationPrompt EngineeringCI/CD PipelinesMLOpsvector databasesHugging Face TransformersLarge Language Models (LLMs)PytorchTensorflowPythonREST APILanggraphLangchainGenerative AiAI lifecycle managementGITMachine LearningGoogle Cloud AI services
About Carrier
Carrier
Industrial Machinery
1.3k+
employees
1915
111 years old
Florida
United States (USA)
About
Carrier provides air conditioning, heating, refrigeration & HVACR product and services around the world.
Industries
Industrial MachineryConsumer goodsManufacturingElectronics
Employee ratings
650 reviews
3.7/ 5
Culture
3.6
Career growth
3.1
Work-life
3.8
Employees rate it well for
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