Ai/ml Engineer- Mlops - Ups Digital Martec

HCM Portal (UPS)

In, IN, United States
Python and ml frameworks
Orchestration tools (airflow, kubeflow)
Containerization and deployment (docker, kubernetes)
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems

Job Summary

  • Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems.
  • We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes.
  • The Marketing ML Engineer / ML Ops Engineer is responsible for operationalizing machine learning models within the marketing technology ecosystem.

Matching Summary

Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems.

Skills & Requirements

Must-have

  • Python and ML frameworks
  • orchestration tools (Airflow, Kubeflow)
  • containerization and deployment (Docker, Kubernetes)
  • cloud platforms (Azure, AWS, GCP)
  • feature stores and model lifecycle management
  • monitoring tools for drift detection

Nice-to-have

  • marketing analytics experience
  • customer data platforms familiarity
  • real-time personalization systems
  • customer segmentation workflows
  • ML governance and compliance

Key Requirements

  • 5-10+ years in data engineering, ML engineering, or MLOps
  • Deploying ML models into production environments
  • Experience with marketing analytics or CDP

Work Rights

Not specified

Tailored Resume

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