Digital Senior Machine Learning Engineer

UPS seeks a Digital Senior Machine Learning Engineer to design, build, validate, and scale production ML models and AI agent systems onsite in Alpharetta, GA, collaborating with cross-functional teams to convert large-scale data into actionable ML solutions.

Responsibilities

• Convert data science prototypes into production-grade ML and AI agent systems, selecting suitable datasets and representations with moderate complexity.
• Investigate and apply ML algorithms and tools to create new systems and processes powered by ML and AI in line with business requirements.
• Design and implement end-to-end ML and AI agent workflows and analysis utilities to accelerate scalable model development for batch and streaming workloads.
• Develop and evolve ML models and software that enable advanced intelligent systems, following best practices across engineering and modeling lifecycles.
• Architect and maintain AI agent systems that autonomously or semi-autonomously execute multi-step tasks, interface with enterprise data, APIs, tools, and other agents, and support human-in-the-loop decisions where appropriate.
• Extend current ML libraries and frameworks with new advances from data science and ML for enterprise use.
• Set up, configure, and support scalable cloud components that serve prediction transactions.
• Plan and run experiments and evaluations with success metrics covering performance, reliability, accuracy, and business impact.
• Implement monitoring, logging, and observability for ML systems and AI agents to ensure ongoing performance and traceability.
• Ingest data from trusted internal and external sources to underpin a Data Product delivering insights that drive ML outcomes aligned with business goals.
• Collaborate with designers, architects, software engineers, data scientists, and data engineers to deliver ML products and systems.

Requirements

• Experience delivering large, data-intensive solutions using distributed computing across multiple business lines.
• Proficient in ML/AI and Generative AI frameworks (Keras, PyTorch), libraries (scikit-learn), and cloud AI tools that streamline ML development.
• Strong track record designing end-to-end, scalable, cost-efficient components to support batch and real-time streaming predictions.
• Experience building and productionizing models including classification, regression, NLP, and deep learning into product features.
• Experience designing AI agent or agent-like systems with task orchestration, tool usage, prompt engineering, workflow automation, and enterprise integration.
• Experience deploying scalable software and model-optimized pipelines to support millions of transactions or large user bases.
• Experience delivering products and services using SDLM, Agile development, and cloud technologies.
• Solid foundation in statistics such as forecasting, time series, hypothesis testing, classification, clustering, and regression, with application to ML model evaluation.
• Advanced mathematics including linear algebra, Bayesian statistics, group theory, and probability.
• Ability to work collaboratively with management and cross-functional teams in technical contexts.
• Strong written and verbal communication skills.
• Creative and critical thinking abilities.
• Bachelor's degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, or statistics, or an equivalent combination of education and experience.

Technologies

• Keras
• PyTorch
• scikit-learn

Education

• Bachelor's degree (BS/BA) in a quantitative field such as mathematics, computer science, physics, economics, or engineering

Employee Type

• Permanent

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.

Basic Qualifications

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