Overview
Honeywell Connected Enterprise (HCE) is a significant business segment of Honeywell International Inc., focusing on providing innovative software solutions that enhance operational efficiency and drive digital transformation across various industries. HCE leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability. We’re looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
Responsibilities
The AI Engineer/ Data Scientist II role is expected to work within Honeywell to build and deploy innovative AI/ML models and solutions that generate new business growth and value.
You will be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and defining the data acquisition strategy when required.
You will be expected to actively participate in defining and governing our analytics strategy for Honeywell, building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions.
You will report to the AI/ML Leader in Honeywell Connected Enterprise.
Qualifications
Bachelor’s degree in computer science, engineering, applied mathematics or related STEM field
Minimum of 2 years of full-time data science prototyping experience (Python) using ML techniques in a commercial setup
Minimum of 2 years of full-time ML experience applied to processes, systems, and hardware in a commercial setup
Minimum of 2 years of experience with distributed storage and compute tools (e.g., Spark)
Minimum of 2 years of experience developing and deploying ML models on cloud platforms (AWS, Azure, GCP)
Minimum of 2 years of experience with deep learning frameworks (PyTorch, TensorFlow, Keras)
Minimum of 2 years of experience designing and deploying production pipelines using containerized microservices or orchestrated batch runs
We value
Master's degree in computer science, engineering, applied mathematics or related STEM field
PhD degree in related STEM field and experience with MLOps best practices
Experience with LLM and natural language processing models
Experience working with remote and global teams
Results-driven with a positive can-do attitude
About Us
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.
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