Company Overview & Mission
Honeywell Technologies is a global pure‑play automation leader, dedicated to solving mission‑critical challenges that improve quality of life worldwide. With over 50,000 employees and a rich data heritage, Honeywell drives the shift from automation to autonomy across building, industrial, and process sectors through its Honeywell Technologies Accelerator OS and Forge intelligence layer.
Key Responsibilities & Day-to-Day Impact
- Collaborate with senior engineers to develop AI models that enhance automation processes.
- Assist in data collection, preprocessing, and feature engineering for real‑world industrial datasets.
- Contribute to prototype development, testing, and validation of AI‑driven solutions.
- Participate in code reviews, documentation, and knowledge‑sharing sessions.
- Support the integration of AI components into Honeywell’s Forge platform.
Qualifications & Requirements
| Requirement | Details |
|---|---|
| Education | Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, Data Science, or related field |
| Technical Skills | Python, machine‑learning libraries (TensorFlow, PyTorch, scikit‑learn), basic understanding of data pipelines, SQL |
| Communication | Strong written and verbal communication skills; ability to convey technical concepts to non‑technical stakeholders |
| Experience | Any academic projects, internships, or coursework involving AI/ML model development |
| Eligibility | Open to internal and external candidates; must be able to work on‑site in Bangalore |
Compensation, Benefits & Work Culture
Honeywell offers a competitive stipend, access to state‑of‑the‑art labs, mentorship from industry veterans, and a collaborative environment that encourages innovation. Interns enjoy flexible working hours, professional development workshops, and the chance to network across global teams.
