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 inference systems (e.g....
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