Machine Learning Engineer – Digital Oilfield Systems

We are seeking a skilled and domain-expert Machine Learning Engineer to develop and
deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal
candidate will have a strong foundation in machine learning, model development, and data
analytics, with the ability to apply these skills to subsurface and production engineering
workflows.
This is a hands-on technical role focused on building ML models that enhance forecasting,
optimization, and operational decision-making across complex oilfield environments.
Experience with agent-based or generative AI systems is a bonus, but not a requirement.

• Develop and maintain machine learning models tailored to oilfield data and
engineering processes.
• Work closely with domain experts to understand workflows and identify ML
opportunities across production, reservoir, and facility systems.
• Build, train, and deploy models for time series prediction, classification, anomaly
detection, or clustering using structured and semi-structured data.
• Validate model accuracy and performance in real-world operational settings.
• Collaborate with software teams to integrate models into DOF platforms or
dashboards.
• (Optional but valued) Explore the use of LLMs or agentic AI to support technical
queries or enhance interaction with data systems.
• Strong background in machine learning, data modeling, and applied statistics.
• Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or
PyTorch.
• Familiarity with oilfield datasets, including production data, sensor logs, simulation
outputs, or engineering inputs.
• Understanding of the challenges and context of oil & gas workflows, even if not from
direct experience.
• Ability to collaborate with geoscientists, production engineers, or field operations
teams to co-design effective models.
• Ability to collaborate with geoscientists, production engineers, or field operations
teams to co-design effective models.
• Azure Data Engineer or AI Engineer certifications are a plus, especially for roles
involving cloud-based deployment.
• AWS experience is appreciated but not mandatory