Ai/ml Engineer- Mlops - Ups Digital Martec

UPS

5-10+ years in data engineering or ml engineering
Proficiency in python and ml frameworks like tensorflow
Experience with airflow kubeflow docker kubernetes
This role involves building next-generation intelligent systems that power the Smart Logistics Network and optimize UPS Airlines operations

Job Summary

  • This role involves building next-generation intelligent systems that power the Smart Logistics Network and optimize UPS Airlines operations.
  • The engineer will operationalize production-grade marketing ML models including propensity to buy, churn prediction, and customer lifetime value.
  • You will bridge Data Science and Engineering by transforming experimental models into scalable, monitored, and business-ready solutions.

Matching Summary

This role involves building next-generation intelligent systems that power the Smart Logistics Network and optimize UPS Airlines operations.

Skills & Requirements

Must-have

  • 5-10+ years in data engineering or ML engineering
  • Proficiency in Python and ML frameworks like TensorFlow
  • Experience with Airflow Kubeflow Docker Kubernetes
  • Strong understanding of feature stores and model lifecycle
  • Cloud platform experience Azure AWS or GCP

Nice-to-have

  • Experience working in marketing analytics or CDPs
  • Familiarity with real-time personalization systems
  • Understanding of customer segmentation workflows
  • Experience implementing ML governance standards

Key Requirements

  • 5-10+ years of relevant professional experience
  • Production deployment experience required
  • No specific visa status mentioned

Work Rights

Not specified

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