Lead AI Engineer

As a Lead AI Engineer at Honeywell, you will be at the forefront of driving innovation and leading the development and implementation of cutting-edge AI solutions. You will play a pivotal role in shaping the future of AI initiatives at Honeywell and contribute to the growth and success of the company.

Key Responsibilities

• Collaborate with colleagues across multiple teams (Data Science and Data Engineering) on unique machine learning system challenges at scale.
• 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. 
• Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs.
• 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. 
• Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.

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.

You Must Have:

• Minimum 7 years of industry experience in writing production level, scalable code (e.g. in Python)
• Minimum 5 years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning.
• Minimum 5 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
• Minimum 5 years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, genism etc.).
• Minimum 5 years of industry experience with major cloud computing services like Azure or GCP
• Minimum 1 year of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML, VertexAI
• Experience in building Agentic AI applications.
• An effective communicator – you shall be an ambassador of Honeywell’s Machine Learning engineering at external forums and can explain technical concepts to a non-technical audience. 
• Minimum 2 years of technical leadership leading junior engineers in a product development setting

Preferred Qualifications:

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
• Proficient Python/PySpark coding experience
• Proficient in containerization services
• Proficient in Azure ML or VertexAI to deploy the models
• Experience with working in CICD framework
• Motivation to make downstream modelers’ work smoother
• Prior experience in building data products and established a track record of innovation would be a big plus.