Advanced Machine Learning Engineer - Military Veterans

Driving Infinite Possibilities Within A Diversified, Global Organization

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 youll work out of our Phoenix, AZ or Atlanta, GA location on a Hybrid work schedule.

In this role, you will impact critical machine learning initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of machine learning technology within a company known for its commitment to excellence. Let's shape the future together!

KEY RESPONSIBILITIES
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 OF WORKING FOR HONEYWELL
Benefits - Medical, Vision, Dental, Mental Health
Paid Vacation
401k Plan/Retirement Benefits (as per regional policy)
Career Growth
Professional Development

U.S. PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

YOU MUST HAVE
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)

WE VALUE
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.

Additional Information

• 
  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.

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.