Innovate to solve the world's most important challenges

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.

YOU MUST HAVE

• MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
• 1+ years of industry experience with Python in a programming intensive role.
• 1+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning.
• 1+ years of experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
• 1+ years of experience with popular ml frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.).
• 1+ years of experience with major cloud computing services.
• Background or experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML.
• 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.

WE VALUE

• Proficient Python/PySpark coding experience
• Familiarity with containerization services
• Experience with working in CICD framework

Additional Information

• JOB ID: req489803
• Category: Engineering
• Location: 715 Peachtree Street, N.E.,Atlanta,Georgia,30308,United States
• Exempt

Engineering (GLOBAL)

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.