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Lead AI/ML Engineer

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Machine Learning EngineerData
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Overview

Role: Lead AI/ML Engineer Location: Hyderabad Full/ Part-time: Full time About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions,

Technical Tools
Machine Learning EngineerData

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier.

About the Role

~1 min read
  • Design, develop, and implement AI/ML and Generative AI solutions for enterprise business applications.
  • Build and deploy applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, vector databases, and agent-based frameworks.
  • Develop AI-powered solutions for document processing, information extraction, knowledge management, recommendation systems, virtual assistants, and conversational AI applications.
  • Integrate AI applications with APIs, databases, cloud platforms, and enterprise systems.
  • Collaborate closely with business stakeholders, domain experts, and engineering teams to translate business requirements into scalable AI solutions.
  • Support the deployment, optimization, monitoring, and continuous improvement of AI applications in production environments.
  • Stay current with emerging AI technologies and industry best practices to drive innovation and adoption across the organization.

Requirements

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  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mechanical Engineering, or a related field.
  • Minimum of 6 years of experience in software development, AI/ML, or related technical disciplines.
  • Strong proficiency in Python, Machine Learning, Natural Language Processing (NLP), and Generative AI technologies.
  • Hands-on experience with frameworks and platforms such as OpenAI, Google Gemini, LangChain, LangGraph, LlamaIndex, and vector databases including FAISS, Pinecone, ChromaDB, or similar technologies.
  • Experience developing applications using FastAPI, RESTful APIs, SQL, and cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
  • Strong understanding of RAG architectures, embeddings, semantic search, AI agents, and agent orchestration frameworks.
  • Experience with AI solution deployment, model evaluation, monitoring, and performance optimization.

  • Degree in Mechanical Engineering or experience within the HVAC, refrigeration, or industrial engineering domains.
  • Familiarity with engineering systems and components such as Compressors, Motors, Heat Exchangers, Valves, and related technical products.
  • Experience working with engineering data, Bills of Materials (BOMs), product structures, technical documentation, and product lifecycle management (PLM) systems.
  • Experience developing AI solutions for engineering, manufacturing, product development, or digital transformation initiatives.

  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently while collaborating effectively across global teams.
  • Passion for innovation and applying AI technologies to solve complex business challenges.
  • Experience mentoring junior developers and contributing to technical leadership initiatives.

What We Offer

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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.

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  Carrier.Recruiting@carrier.com.We will make every effort to meet your needs in accordance with applicable laws.

Please review Carrier’s Job Applicant Privacy Notice ,

Technology enabled tools may support parts of the recruitment process, with oversight by people.

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.

Click on this link to read the Job Applicant's Privacy Notice

Location & Eligibility

Where is the job
Building No
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
September 29, 2026
First seen
September 29, 2026
Last seen
September 30, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
56%
Scored at
September 30, 2026

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Lead AI/ML Engineer