Technical Specialist

carrier; Town of Florida (NY); On-site; USD 19,000 - 25,000; Full time

Benefits offered by this job

Competitive total rewards

Global exposure

Job summary

Carrier Global Corporation seeks an Applied AI Specialist to lead development of AI-enabled digital solutions for aftermarket service operations. You will apply AI, analytics, and connected tech to improve service operations, predictive maintenance, field efficiency, customer experience, warranty analytics, and growth.

The role combines technical depth with domain knowledge to deliver scalable AI solutions that create measurable business value across Carrier's global aftermarket organization.

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.

Responsibilities

• AI Solution Development: Design, develop, and deploy AI/ML, Generative AI, and automation solutions.
• Software Engineering: Develop scalable backend services, APIs, and microservices in Python.
• Cloud & AI Platform Development: Deploy AI apps on Azure, AWS, or Google Cloud, and support CI/CD for AI workloads.
• Data Engineering & Analytics: Work with structured/unstructured data, feature engineering, model monitoring.
• Technical Collaboration: Partner with product owners and engineers to deliver AI solutions and share knowledge.

Skills

Python

OO design

Machine Learning

Generative AI

LLMs

LangChain

LangGraph

HuggingFace

TensorFlow

PyTorch

RAG

Prompt engineering

Vector databases

Azure

AWS

Google Cloud

Docker

Kubernetes

REST APIs

Git

CI/CD

MLOps

AI lifecycle

Communication

Education

Bachelor's or Master’s in CS/Engineering/AI/Data Science

Tools

Docker

Kubernetes

REST APIs

Git

CI/CD pipelines

Job description

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 [e-mail]. We will make every effort to meet your needs in accordance with applicable laws.

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