Ai Agent Engineer Jobs

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2mo ago

Digital Senior Machine Learning Engineer

UPS Alpharetta, GA

Alpharetta, GA

2mo ago Closed

Full time Senior Ai Agent Artificial Intelligence

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

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.

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