Machine Learning Engineer

RESPONSIBILITIES
• Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models.
• Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements
• Collaborates with others to deliver ML products and systems for the organization.
• Designs workflows and analysis tools to streamline the development of new ML models at scale.
• Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles.
• Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field.
• Establishes, configures, and supports scalable Cloud components that serve prediction model transactions
• Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems.

QUALIFICATIONS
Requirements:
• Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment.
• Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems.
• Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions
• Possesses creative and critical thinking skills.
• Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features.
• Experience with scalable data processing, feature development, and model optimization.
• Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models.
• Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development
• Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory.
• Works collaboratively, both in a technical and cross-functional context.
• Strong written and verbal communication.
• Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

OTHER CRITERIA:

• This job is a grade 20G.
• Hours of Operation are subject to change: 8:00 AM - 5:00 PM EST.
• Position is located in Atlanta, GA.
• Must be currently located in the same geographic location as the job or willing to self-relocate.
• No Relocation assistance offered.
• Employer will not sponsor visas for position.
• Last day to apply for internal applicants is 11:59 PM EST on 10/17/2026.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/nationalorigin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.