Machine Learning Engineer II
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Honeywells 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.
Qualifications
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 Honeywells 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
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: 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.
Due to compliance with U.S. export control laws and regulations candidate must be a U.S. Person which is defined as a a U.S. permanent resident or have protected status in the U.S. under asylum or refugee status or have the ability toobtain an export authorization.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
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
