Hybrid Senior AI Engineer

at Honeywell

• Job title: Senior AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Keras, Kubernetes, Postgres, PySpark, Python, PyTorch, Scikit-Learn, Spark, SQL, Tensorflow
• Location requirements: Hybrid, Atlanta, United States

About the role

• Senior Advanced AI Engineer at Honeywell providing technical leadership in AI algorithms and systems design. Collaborating on critical initiatives and building diverse talent for innovation.

Responsibilities

• Provide expert-level technical leadership in the design and development of AI algorithms, models, and systems.
• Responsible for acting as the subject matter expert for technical AI projects.
• Provide direction on exploring and implementing methodologies and best practices.
• Impact critical AI initiatives and drive technical excellence within the organization.
• Build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture.

Requirements

• 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.
• 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.

Benefits

• Comprehensive benefits package
• 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