Senior – Mle – Python, Ml Frameworks, Mlops, Containerization, Terraform, Gcp, Vertex Ai, Ibm Watsonx
UPS
United States
Production-ready ml models and pipelines
Python with ml frameworks
Cloud ml platforms (gcp vertex ai)
Our Machine Learning Engineering teams build scalable, production-grade ML solutions that power UPS’s Smart Logistics Network and optimize global operations
Job Summary
Our Machine Learning Engineering teams build scalable, production-grade ML solutions that power UPS’s Smart Logistics Network and optimize global operations.
You will contribute across the full ML lifecycle and help shape MLOps practices while mentoring junior engineers and collaborating with product managers and data scientists.
UPS fosters an innovative culture focused on overcoming obstacles and delivering measurable impact across the enterprise.
Matching Summary
Our Machine Learning Engineering teams build scalable, production-grade ML solutions that power UPS’s Smart Logistics Network and optimize global operations.
Skills & Requirements
Must-have
Production-ready ML models and pipelines
Python with ML frameworks
Cloud ML platforms (GCP Vertex AI)
Containerization and orchestration
Infrastructure-as-code with Terraform/Helm
CI/CD workflows for ML
Model monitoring and observability
Nice-to-have
Real-time inference systems
Feature stores and knowledge graphs
Model interpretability and fairness
Responsible AI principles
ML platform architecture design
Mentoring junior engineers
Collaboration with cross-functional teams
Key Requirements
Bachelor’s or Master’s degree in relevant field
5+ years experience in ML engineering or MLOps
Strong foundations in data structures and algorithms
Proficiency in Python and SQL
Experience with cloud ML platforms and containerization
Familiarity with big data and streaming technologies
Practical exposure to model observability and governance