Lead – Machine Learning Engineer – Python, Ml Frameworks, Mlops, Containerization, Terraform, Gcp, Vertex Ai, Ibm Watsonx

UPS

Python ml frameworks
Mlops best practices
Containerization (docker, kubernetes)
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems that power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations

Job Summary

  • Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems that power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations.
  • We are seeking a visionary Lead Machine Learning Engineer to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes.
  • You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.

Matching Summary

Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems that power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations.

Skills & Requirements

Must-have

  • Python ML frameworks
  • MLOps best practices
  • Containerization (Docker, Kubernetes)
  • Terraform/Helm infrastructure-as-code
  • GCP Vertex AI
  • IBM WatsonX Governance

Nice-to-have

  • Real-time inference systems
  • Low-latency streaming platforms
  • Model interpretability and fairness
  • Logistics domain experience
  • Presenting technical solutions to executives

Key Requirements

  • 8+ years ML engineering experience
  • Lead ML projects from conception to production
  • Python (scikit-learn, PyTorch, TensorFlow, XGBoost)
  • Cloud ML platforms (GCP Vertex AI, AWS SageMaker, Azure ML)
  • Containerization and orchestration
  • Big data and streaming technologies
  • Model observability tools
  • Bachelor's or Master's degree in CS, Engineering, Math or related

Work Rights

Not specified

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