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About the Role

Honeywell is seeking a data-driven professional to join its Data Science engineering team. This role involves designing and building in-house analytical components, evaluating and integrating third-party solutions, and deploying state-of-the-art AI/ML models and data mining techniques. You will develop innovative solutions, leverage physical access control system datasets to unlock new security insights, and work with closed and open-source LLMs, text and multi-modal embedding models, and generative AI systems to improve forensic and real-time security outcomes.

Responsibilities

Design and build in-house analytical components
Evaluate and integrate third-party analytical components
Develop new innovative solutions
Deploy state-of-the-art AI-ML models and data mining techniques
Leverage physical access control system datasets to unlock new security insights
Utilize closed and open-source LLMs
Implement text and multi-modal embedding models
Develop new generative AI systems and ML models
Deliver analytical systems that improve forensic and real-time security outcomes
Extend the capabilities of core product ecosystems through in-house developed and integrated analytical systems

Requirements

Data driven professional
Experience with data engineering
Experience leveraging closed and open-source LLMs
Experience with text and multi-modal embedding models
Experience in development of new generative AI systems and ML models

Skills

Data mining
Generative AI
Machine Learning (ML)
Data engineering
LLMs (Large Language Models)
Text embedding models
Multi-modal embedding models

About the Company

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition.
As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.