Senior – Mle – Python, Ml Frameworks, Mlops, Containerization, Terraform, Gcp, Vertex Ai, Ibm Watsonx
UPS
Not specified; not specified; not specified
Python programming proficiency
Gcp vertex ai experience
Terraform infrastructure as code
This role involves building scalable, production-grade ML solutions that power the Smart Logistics Network and optimize global transportation operations
Job Summary
This role involves building scalable, production-grade ML solutions that power the Smart Logistics Network and optimize global transportation operations.
Candidates will design and maintain automated retraining workflows with drift detection to ensure model accuracy and cost optimization in a high-volume environment.
The team fosters an innovative culture where employees are encouraged to lead themselves and collaborate across data science, software engineering, and product teams.
Matching Summary
This role involves building scalable, production-grade ML solutions that power the Smart Logistics Network and optimize global transportation operations.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python programming proficiency
GCP Vertex AI experience
Terraform infrastructure as code
Docker and Kubernetes containerization
CI/CD pipeline development
Model monitoring and drift detection
Feature stores and vector databases
Nice-to-have
Mentoring junior engineers
Real-time inference systems
Responsible AI principles
Open-source contributions
Kaggle or NeurIPS participation
Supply chain domain knowledge
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
5+ years of experience in machine learning engineering or MLOps
Strong foundation in distributed systems and algorithms