Digital Senior Machine Learning Engineer

UPS is expanding its data-driven capabilities with a Digital Senior Machine Learning Engineer based in Alpharetta, GA, onsite. The role centers on designing, building, testing, and delivering production-scale ML and AI agent systems, while collaborating with cross-functional teams to uncover automation opportunities and measure impact through production-ready trials.

Responsibilities

• Convert data science prototypes into production-grade ML and AI agent systems using suitably complex datasets and representations.
• Evaluate and implement ML algorithms and tools to create novel systems and processes powered by ML and AI, aligned with business needs.
• Design and implement end-to-end ML and AI agent workflows and analysis tools to scale the development of new models, in both batch and streaming contexts.
• Develop and evolve ML models and software to enable state-of-the-art intelligent systems, following best practices across engineering and modeling lifecycles.
• Build and maintain AI agent systems that autonomously or semi-autonomously perform multi-step tasks, access enterprise data and APIs, and support human-in-the-loop decisions when appropriate.
• Extend existing ML libraries and frameworks with the latest Data Science and ML advances for enterprise use.
• Set up, configure, and support scalable cloud components that host prediction model transactions.
• Plan and execute experiments, evaluations, and success metrics for ML models and AI agents, covering performance, reliability, accuracy, and business impact.
• Implement monitoring, logging, and observability for ML systems and AI agents to ensure ongoing performance and traceability.
• Integrate data from authoritative internal and external sources to form the foundation of new Data Products that deliver insights supporting business outcomes.
• Collaborate with Designers, Architects, Software Engineers, Data Scientists, and Data Engineers to deliver ML products and systems.

Requirements

• Experience designing and building large, data-intensive solutions using distributed computing within a multi-line business environment.
• Knowledge of Machine Learning and Artificial Intelligence, including Generative AI frameworks (Keras, PyTorch), libraries (scikit-learn), and cloud-AI technologies to streamline ML/AI development.
• Strong experience establishing scalable, cost-effective end-to-end solution components to support batch and live streaming prediction transactions.
• Proven ability to develop and productionize ML models such as classification/regression, NLP, and deep learning models into product features.
• Experience designing and implementing AI agent or agent-like systems, including task orchestration, tool usage, prompt engineering, workflow automation, and integration with enterprise systems.
• Experience deploying highly scalable software and model optimization to support millions of transactions or a large user base.
• Track record creating products and services that follow best practices around software development lifecycle (SDLC), Agile methodologies, and cloud technologies.
• Solid understanding of statistics (forecasting, time series, hypothesis testing, classification, clustering, regression) and applying it to evaluate ML models.
• Advanced mathematics skills in Linear Algebra, Bayesian Statistics, Group Theory, and Probability.
• Collaborative mindset with leadership and cross-functional teams; strong written and verbal communication; creative and critical thinking skills.
• Bachelor’s degree (BS/BA) in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or an international equivalent, or equivalent job experience.

Technologies

• Keras
• PyTorch
• scikit-learn

Employment Details

• Permanent
• Location: Alpharetta, GA (onsite)

Basic Qualifications

• Must be a U.S. Citizen or National, or a lawful permanent resident, or authorized to work in the United States for this employer.

Other Criteria

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