Join the industry leader to design the next generation of breakthroughs\n\n\n

At Honeywell, our people play a critical role in developing and assisting 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.
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Key Responsibilities

\n\n\n\tCollaborate with colleagues across multiple teams (Data Science and Data Engineering)on unique machine learning system challenges at scale.\n\tLeverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.\n\tDesign and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks.\n\tResearch and implement state of the art LLM models for different business use cases including finetuning and serving the LLMs.\n\tEnsure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring.\n\tOptimize integration between popular machine learning libraries and cloud ML and data processing frameworks.\n\tBuild Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs\n\n\n

BENEFITS OF WORKING FOR HONEYWELL
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\nIn addition to a performance-driven salary, cutting-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 a Glance | Honeywell Benefits
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\nThe 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.
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U.S. PERSON REQUIREMENTS

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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.

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YOU MUST HAVE

\n\n\n\tMS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.\n\t3+ years of industry experience with Python in a programming intensive role.\n\t2+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning.\n\t3+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.\n\t3+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy,gensim, CoreNLP etc.).\n\t3+ years of industry experience with major cloud computing services.\n\tBackground or experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML.\n\tExperience with Prompt Engineering in Agent orchestration framework.\n\tPrior experience in building data products and established a track record of innovation would be a big plus.\n\tAn effective communicator – you shall be an ambassador of Honeywell’s Machine Learning engineering at external forums and have the ability to explain technical concepts to a non-technical audience.\n\n\n

WE VALUE

\n\n\n\tProficient Python/PySpark coding experience\n\tProficient in containerization services\n\tProficient in Azure ML to deploy the models\n\tExperience with working in CICD framework\n\tMotivation to make downstream modelers’ work smoother\n\n\n

ABOUT HONEYWELL

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\nHoneywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical demands around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company dedicated 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.

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\nHoneywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, care or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Additional InformationJOB ID: req480011Category: EngineeringLocation: 715 Peachtree Street, N.E.,Atlanta,Georgia,30308,United StatesExemptDue to US export control laws, must be a US citizen, permanent resident or have protected status.Global (ALL)

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.