Ai/ml Engineer- Mlops - Ups Digital Martec

UPS

In, IN, United States
Deploy ml models into production
Python and ml frameworks
Orchestration tools (airflow, kubeflow)
We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes

Job Summary

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

Matching Summary

We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes.

Skills & Requirements

Must-have

  • deploy ML models into production
  • 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
  • Strong experience deploying ML models into production
  • Proficiency in Python and ML frameworks
  • Experience with orchestration tools
  • Familiarity with containerization and deployment
  • Experience with cloud platforms
  • Strong understanding of feature stores and model lifecycle management
  • Knowledge of monitoring tools

Work Rights

Not specified

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