Honeywell Advanced Machine Learning Engineer 

United States 

996005725

As an Advanced Machine Learning Engineer here at Honeywell, you will provide expert-level technical leadership in the design and development of machine learning algorithms, models, and systems. You will be responsible for acting as the subject matter expert for technical machine learning projects and provide direction on exploring and implementing methodologies and best practices. You will report directly to our Sr. Data Science Manager, and you’ll work out of our Phoenix, AZ or Atlanta, GA location on a Hybrid work schedule.

• Collaborate with colleagues across multiple function groups (Data Science, Data Engineering, domain experts) on unique challenges across different business units of Honeywell.
• Develop complicated, scalable and robust analytics solutions to solve business problems.
• 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.
• 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.

• Benefits - Medical, Vision, Dental, Mental Health
• Paid Vacation
• 401k Plan/Retirement Benefits (as per regional policy)
• Career Growth
• Professional Development

• MS or Ph.D. in Computer Science, Electrical Engineering, or STEM related fields.
• 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, deep learning with Python in a programming intensive role.
• 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 Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
• 3+ years of industry experience with major cloud computing services (AWS, Azure, etc)

• Proficient Python/PySpark coding experience
• Proficient in containerization services
• Proficient in stacks to deploy the models like Azure ML, Databricks etc.
• Proficient in Databricks
• Proficient in storage solutions such as Postgres SQL, Delta Table etc
• Proficient in CI/CD framework.
• Prior experience in building data products and established a track record of innovation.
• An effective communicator – you shall be an ambassador of Honeywell AI initiatives and have the ability to explain technical concepts to a non-technical audience.

• JOB ID: req454917
• Category: Engineering
• Location: 715 Peachtree Street, N.E.,Atlanta,Georgia,30308,United States
• Exempt
• Must be a US Person or able to obtain export Authorization.