Technical Specialist

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.

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 8–15 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.

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