Ai Agent Data Jobs

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19d ago

Digital Senior Machine Learning Engineer

UPS Alpharetta, GA

Alpharetta, GA

19d ago

Full time Senior Ai Agent Artificial Intelligence

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Job Description

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.

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