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oil and gas company in the Middle East
Designs, builds, and deploys production-grade predictive analytics and machine learning solutions for asset reliability, predictive maintenance, and process optimization at oil & gas facilities. Day-to-day work spans model development (anomaly detection, failure prediction, time-series forecasting), scalable data pipelines, and MLOps using Python/R, Spark/Kafka, and industrial data sources.
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