Lead AI Engineer at Honeywell Technologies providing technical guidance to AI engineers while designing and implementing scalable machine learning systems, distributed training, and generative/agentic AI applications, collaborating across teams to meet business objectives.
What you’ll do
Provide technical guidance to AI engineers
Design, develop, and implement scalable AI solutions
Build machine learning systems and distributed training pipelines
Develop generative AI and agentic AI applications
Collaborate across teams to align project requirements with business objectives
Deploy models using Azure ML or Vertex AI in CICD frameworks
What you’ll need
Bachelor's degree in a technical discipline; MS/PhD preferred
6+ years of industry experience writing production-level scalable code in Python/PySpark
5+ years with machine learning topics including classification, clustering, optimization, recommendation systems, and deep learning
5+ years with distributed computing and ML frameworks such as Spark, Kubernetes, TensorFlow, PyTorch, and HuggingFace Transformers
5+ years with cloud computing services like Azure or GCP
1+ years building/scaling Generative AI and Agentic AI applications; 2+ years technical leadership
Original job description
Honeywell hires a Lead AI Engineer to provide technical guidance to AI engineers and design, develop, and implement AI solutions. The role focuses on scalable machine learning systems, distributed training, and generative AI applications, collaborating across teams to align project requirements with business objectives.Bachelor's degree from an accredited…