Sr. Production Engineer - Digital Oilfield Systems Brunel

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We are hiring for one of our prestigious clients, a leading international oil and gas service company in Kuwait!!!

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Job location: Ahmadi, Kuwait

Contract Duration: 1 Year with possible extension

Salary & Benefits: Excellent all-inclusive day rate

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Job Description:

• We are seeking a Senior Production Engineer with deep domain expertise in oilfield operations and a passion for digital transformation. This role bridges the gap between field knowledge and data science/AI development teams, ensuring that intelligent systems reflect real-world production behaviors.
• The candidate will contribute technical insights to product design, validate ML model results, and help prioritize opportunities for automation and optimization within Digital Oilfield (DOF) platforms. Experience with DOF tools is required. While AI/ML exposure is appreciated, it is not mandatory.

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Key Responsibilities:

• Act as the subject matter expert (SME) in production engineering for digital initiatives.
• Translate operational workflows into structured inputs for ML engineers and developers.
• Evaluate model outputs and ensure alignment with physical system behavior and field expectations.
• Identify opportunities for intelligent automation in surveillance, optimization, and diagnostics.
• Serve as a liaison between engineering teams and product/technology stakeholders.

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Required Skills and Experience:

• 10+ years of hands-on production engineering experience, preferably in upstream operations.
• Familiarity with DOF platforms, digital twins, or data-driven production workflows.
• Strong understanding of field surveillance, production optimization, artificial lift, and flow assurance.
• Experience working with or implementing digital systems in operational settings.
• Ability to communicate effectively across technical and non-technical teams.
• Interest in digital workflows, data analytics, and decision automation.

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Nice to Have:

• Awareness of AI/ML applications and their potential impact on upstream operations.
• Comfortable reviewing or testing the results of ML models in operational use cases.
• Open to working in agile or cross-functional teams alongside developers and data scientists.