Advisor It Systems

Occidental Petroleum

Houston, United States
On-site
Mlops pipelines and platforms
Aws services for ml
Python for ml workflows
This role bridges data science, cloud engineering, and operations to ensure reliable, scalable, and secure AI systems in production

Job Summary

  • This role bridges data science, cloud engineering, and operations to ensure reliable, scalable, and secure AI systems in production.
  • Design, build, and maintain MLOps pipelines and platforms for model training, deployment, monitoring, and retraining using AWS.
  • Operationalize ML models for upstream use cases (e.g., production optimization, subsurface modeling, drilling analytics).

Matching Summary

This role bridges data science, cloud engineering, and operations to ensure reliable, scalable, and secure AI systems in production.

Skills & Requirements

Must-have

  • MLOps pipelines and platforms
  • AWS services for ML
  • Python for ML workflows
  • CI/CD for ML models
  • Model monitoring and retraining

Nice-to-have

  • Upstream Oil & Gas experience
  • Infrastructure-as-code
  • Time-series forecasting ML

Key Requirements

  • 5+ years of experience
  • Python proficiency
  • Hands-on AWS experience
  • Experience deploying ML models
  • Familiarity with CI/CD tools

Work Rights

Not specified

Tailored Resume

Cover Letter