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Honeywell

Diversified industrial conglomerate: aerospace, automation, safety

AI Intern

Applied Machine Learning +1Posted on Nov 12
Internship · Summer 2026Dublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • Currently pursuing a master's degree in Computer Science, AI/ML, Data Science, Software Engineering, or a related field.
  • Strong Python programming skills and experience using libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
  • Completed modules or projects in machine learning, deep learning, time-series analytics, natural language processing, or Generative AI.
  • Good written and spoken English.

Responsibilities

  • Build, test, and evaluate AI/ML and Generative AI solutions, including LLM-based and agentic applications, for Honeywell Forge products.
  • Work with industrial IoT and time-series data to develop algorithms that improve energy efficiency, comfort, asset performance, and predictive maintenance.
  • Write high-quality Python code using modern engineering practices such as version control, testing, code review, and CI/CD.
  • Collaborate with an international team of AI, ML, and data engineers and product owners to turn business requirements into working prototypes.
  • Research emerging AI techniques, document results, and present progress to team leadership and stakeholders.

Desired Qualifications

  • Exposure to LLMs, prompt engineering, RAG, agent frameworks such as LangChain or LangGraph, Git, and cloud platforms such as Azure or GCP.
  • Curiosity, creativity, collaboration, and strong problem-solving skills.

About the Company

Honeywell

Diversified industrial conglomerate: aerospace, automation, safety

Honeywell operates in four main areas—aerospace, building automation, performance materials and technologies (PMT), and safety and productivity solutions (SPS). Its products couple hardware, software, and services, delivering integrated solutions for customers in design, manufacturing, installation, maintenance, and analytics. It stands out through a broad, diversified portfolio, a global presence, and the ability to connect multiple stages of the product lifecycle into one ecosystem. The company aims to help customers operate more reliably and efficiently, reduce costs and environmental impact, and grow recurring revenue by offering solutions, services, and digital platforms that link its hardware and software offerings.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1906

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