- Minimum of 4 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 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
- Minimum of 3 years of experience with distributed storage and compute tools (e.g. Spark)
- Minimum of 3 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
- Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.
- 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
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In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
The application period for the job is estimated to be 40 days from the job posting date August 14, 2026; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here
Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.
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.
