Intermediate Applications Developer Python, Ml Frameworks, Mlops, Containerization, Terraform, Gcp, Vertex Ai, Ibm Watsonx

UPS

Not specified (default to hybrid)
Python programming for ml
Gcp vertex ai experience
Terraform infrastructure as code
UPS is seeking an Intermediate Applications Developer with expertise in Python, machine learning frameworks, and MLOps to enhance their logistics operations through innovative intelligent systems. The ideal candidate will have substantial experience in building and deploying machine learning models in cloud environments, particularly GCP, and will play a pivotal role in mentoring junior engineers and shaping MLOps practices

Job Summary

  • The role involves building scalable, production-grade ML solutions that power the Smart Logistics Network and optimize operations for up to 38 million packages daily.
  • Candidates will design and maintain robust ML pipelines using tools like Vertex AI Pipelines, Kubeflow, and Airflow while ensuring security and cost optimization.
  • The team fosters an innovative culture where engineers are expected to drive MLOps best practices, mentor junior staff, and translate business problems into reliable intelligent systems.

Matching Summary

Match Score: 85

UPS is seeking an Intermediate Applications Developer with expertise in Python, machine learning frameworks, and MLOps to enhance their logistics operations through innovative intelligent systems. The ideal candidate will have substantial experience in building and deploying machine learning models in cloud environments, particularly GCP, and will play a pivotal role in mentoring junior engineers and shaping MLOps practices.

Skills & Requirements

Must-have

  • Python programming for ML
  • GCP Vertex AI experience
  • Terraform infrastructure as code
  • Docker and Kubernetes containerization
  • MLOps pipeline development
  • Model monitoring and drift detection

Nice-to-have

  • IBM Watsonx platform knowledge
  • Feature store implementation
  • Vector database integration
  • Real-time inference systems
  • Model interpretability frameworks
  • Open-source ML contributions

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 proficiency in Python and SQL
  • Experience with distributed systems and big data technologies

Work Rights

Not specified

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