Senior Advanced AI Engineer

As a Sr Advanced AI Engr here at Honeywell, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. You will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices.

In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology within a company known for its commitment to excellence. Let's shape the future together!At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

• Collaborate with colleagues across multiple function groups (Data Science, Data Engineering, domain experts) on unique challenges across different business units of Honeywell.
• Develop complicated, scalable and robust analytics solutions to solve business problems.
• Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.
• Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks. 
• Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring.
• Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. 

YOU MUST HAVE

• MS or Ph.D. in Computer Science, Electrical Engineering, or STEM related fields.
• 3+ years of industry experience with Python in a programming intensive role.
• 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, deep learning.
• 3+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
• 3+ years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
• 3+ years of industry experience with major cloud computing services (AWS, Azure, etc)
• Prior experience in building data products and established a track record of innovation.  
• An effective communicator – you shall be an ambassador of Honeywell AI initiatives and have the ability to explain technical concepts to a non-technical audience. 

WE VALUE

• Proficient Python/PySpark coding experience
• Proficient in containerization services
• Proficient in stacks to deploy the models like Azure ML, Databricks etc.
• Proficient in Databricks
• Proficient in storage solutions such as Postgres SQL, Delta Table etc
• Proficient in CICD framework.

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: Benefits at Honeywell

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.  Job Posting Date: 11/7/2025.

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.