Machine Learning Engineer II (Finance)

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.

As an AI Engr II here at Honeywell, you will be responsible for developing and implementing AI algorithms, models, and systems to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and processes, ensuring scalability, efficiency, and robustness.

In this role, you will impact the development and deployment of advanced AI solutions, contributing to Honeywell's commitment to innovation and cutting-edge technology. This position will play a key role in driving technical excellence within the organization and shaping the future of AI technology at Honeywell.

At Honeywell, our people leaders play a critical role in developing and supporting 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.

In addition to a competitive salary, leading-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 Honeywell Benefits information visit: https://benefits.honeywell.com/

The 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.YOU MUST HAVE

• 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.

WE VALUE

• Proficient Python/PySpark coding experience
• Proficient in containerization services
• Proficient in Azure ML to deploy the models
• Experience with working in CICD framework
• Motivation to make downstream modelers' work smoother

About Us

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 Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.