Ups Digital Senior Machine Learning Engineer

UPS

Us
Design, build, test, and delivery of ml models
Assess and analyze large-scale data sources
Transform data science prototypes into production grade systems
This position conducts the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams

Job Summary

  • This position conducts the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams.
  • This position supervises and engages in assessment and analysis of large-scale data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization.
  • We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion.

Matching Summary

This position conducts the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams.

Skills & Requirements

Must-have

  • design, build, test, and delivery of ML models
  • assess and analyze large-scale data sources
  • transform data science prototypes into production grade systems
  • implement ML/AI models for production scale
  • design and implement end-to-end ML workflows
  • create and evolve ML models and software
  • design, build, and maintain AI agent systems
  • extend existing ML libraries and frameworks
  • establish and configure scalable cloud components
  • design and execute experiments for ML models
  • implement monitoring, logging, and observability for ML systems
  • integrate data from internal and external sources
  • develop and implement Classification/Regression Models
  • develop and implement NLP models
  • develop and implement Deep Learning models
  • design and implement AI agent systems
  • deploy highly scalable software
  • solid understanding of statistics for ML models
  • advanced math skills in Linear Algebra
  • advanced math skills in Bayesian Statistics
  • advanced math skills in Group Theory
  • advanced math skills in Probability

Nice-to-have

  • rewarding culture
  • work with talented teams
  • creative and critical thinking skills
  • collaborate with management and cross-functional teams

Key Requirements

  • Experience designing and building large/data-intensive solutions
  • Knowledgeable in Machine Learning and Artificial Intelligence, and Generative AI frameworks
  • Strong experience in establishing and configuring scalable and cost-effective end to end solution design pattern components
  • Experience in developing and implementing Machine Learning models
  • Experience deploying highly scalable software, scalable feature pipeline and model optimization
  • Experience in creating products and services that leverages best practices around software development lifecycle
  • Bachelors’ (BS/BA) degree in a quantitative field

Work Rights

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.

Tailored Resume

Cover Letter