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Jednostka odległości

Technical Specialist

Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Identyfikator oferty 30212424 Kategoria oferty Engineering
Posted Start Date July 10, 2026
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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

  • 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.

Benefits:

  • We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

  • Have peace of mind and body with our health insurance

  • Make yourself a priority with flexible schedules and leave Policy

  • Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.

Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

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.

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