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. As an AI Engineer/Data Scientist II, you will design, develop, and implement data-driven solutions for various Honeywell business groups, collaborating closely with data scientists and engineers.
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.
Qualification
Required
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
Preferred
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
Benefit
Employer subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays
Honeywell is a technology and manufacturing company that produces products for the automation, aviation, and energy transition industries.
