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Experience
3 - 8 Years
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
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.
business trip to Kuwait
Desired Candidate Profile
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.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Machine Learning Engineer
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