Description

You will build and deploy inference pipelines to support optimization projects for field operations and production.

This role is on-site.

Responsibilities

• Build inference pipelines for production volumes, drilling processes, and environmental planning.
• Deploy machine learning products into production environments.
• Implement DevOps practices specifically for model deployment.
• Process high frequency data to support optimization workflows.

Required Skills

• 4+ years of experience in Machine Learning Engineering.
• Proficiency in Python programming.
• Hands-on experience with Docker and Kubernetes.
• Experience implementing CI/CD workflows using GitHub Actions.
• Experience with product deployment and DevOps for models.
• Working knowledge of Linux environments.
• Experience with Linear Regression models.
• Experience with high frequency data processing.

Preferred Skills

• Bachelor's degree in Data Science, Computer Science, Petroleum Engineering, Applied Mathematics, or a related field.

Key Skills

Education

Bachelor's degree