AI Engineer/Data Scientist II (Finance)
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.
Overview
As an AI Engineer/ Data Scientist II, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions. You will work closely with data scientists and data engineers, application architects to integrate results into operational platforms.
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 also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
You will also 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
Must have
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 machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
Minimum of 2 years of full time Machine Learning experience applied on top of 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' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
Minimum of 2 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
We value
Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
Experience with MLOPS best practices and implementations
Experience with LLM and Natural Language Processing models
Experience working with remote and global teams
Results driven with a positive can-do attitude
Other
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 also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
You will also 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.
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.