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Honeywell · 4 months ago

AI/ML Engineer II

Atlanta, GA, United States

Full-time

Hybrid

Mid Level

3+ years exp

Honeywell is a company that helps organizations solve complex challenges in automation and energy transition. They are seeking an AI/ML Engineer II responsible for developing and implementing AI algorithms and models, collaborating with cross-functional teams to integrate AI solutions into existing systems, and ensuring scalability and efficiency.

AerospaceElectronicsInformation TechnologyInnovation ManagementManufacturingService Industry

Growth Opportunities

No H1B

U.S. Citizen Only

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 implement 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

Qualification

PythonDistributed computing frameworksMachine learning frameworksCloud computing servicesGenerative AI ApplicationsPrompt EngineeringCICD frameworkContainerization servicesAzure MLEffective communication

Required

MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields

3+ years of industry experience with Python in a programming intensive role

2+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, 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 Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)

3+ years of industry experience with major cloud computing services

Background or experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML

Experience with Prompt Engineering in Agent orchestration framework

Prior experience in building data products and established a track record of innovation would be a big plus

An 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