Lead Machine Learning Engineer

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds 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.

Responsibilities

What youll be doing:

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.

Qualifications

US Persons Requirements:

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:

Bachelors degree from an accredited institution in a technical discipline such as the sciences technology engineering or mathematics
7 years of industry experience in writing production level scalable code (e.g. in Python)
5 years of experience with one or more of the following machine learning topics: classification clustering optimization recommendation system deep learning.
5 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc.
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.).
5 years of industry experience with major cloud computing services like Azure or GCP
1 years 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 Honeywells Machine Learning engineering at external forums and can explain technical concepts to a non-technical audience.
2 years of technical leadership leading junior engineers in a product development setting

Preferred Qualifications:

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.

DescriptionABOUT HONEYWELLHoneywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed ...

Description

ABOUT HONEYWELL

Responsibilities

What youll be doing:

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.

Qualifications

US Persons Requirements:

You Must Have:

Bachelors degree from an accredited institution in a technical discipline such as the sciences technology engineering or mathematics
7 years of industry experience in writing production level scalable code (e.g. in Python)
5 years of experience with one or more of the following machine learning topics: classification clustering optimization recommendation system deep learning.
5 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc.
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.).
5 years of industry experience with major cloud computing services like Azure or GCP
1 years 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 Honeywells Machine Learning engineering at external forums and can explain technical concepts to a non-technical audience.
2 years of technical leadership leading junior engineers in a product development setting

Preferred Qualifications:

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.

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

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About Company

Honeywell

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 ... View more

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