Job Description

Project Description:

  • We are hiring an ML Ops Engineer to operationalize machine learning solutions across Digital Oilfield (DOF) platforms. This is a critical role ensuring that models move from development to robust, production-grade deployment with high availability, traceability, and security.
  • The ideal candidate will be responsible for automating pipelines, managing model versions, integrating APIs, and monitoring ML system health across diverse operational environments. Oil & gas exposure is beneficial but not required; this is a technical engineering role with high ownership and cross-team collaboration.


Responsibilities:

  • • Develop and maintain ML pipelines for data preprocessing, training, validation, deployment, and monitoring.
  • • Implement model governance strategies—versioning, rollback, audit trails, and explainability.
  • • Set up containerized environments and scalable inf...

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