Technical Specialist

Overview

Lead the development of AI-enabled digital solutions that enhance Carrier's aftermarket service business, applying AI, analytics and connected technologies to service operations, predictive maintenance, field service efficiency, customer experience, warranty analytics and aftermarket growth.

What you'll do

• 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.
• Develop scalable backend services, APIs and microservices using Python.
• Write clean, maintainable, 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.
• 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.
• 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.
• 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.

What you'll need

• 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.

Details

• Location: Hyderabad, India.
• Full-time employment.