Years of Experience 3-5 years Preferable Production Engineering knowledge Oil Gas industry Timeseries ML and constrained optimization for production rampsequence planning ability to encode facility guardrails and drawdown targets Pressuresystem feature engineering using DHPWHPManifoldUpDownstream signals comfort reconciling telemetry with physical intuition OThistorian PI data wrangling at scale robust handling of gaps sensor drift and event slicing for ramp windows Azure ML model packaging endpoints monitoring handson with CICD for retrains and can migrate from HPCtrained models to cloudserved artifacts Operatorcentric delivery translating model outputs into explicit ramp stepsvisual cues stoplights countdowns and validating against controlroom practice Profile Requirement A highly skilled Machine Learning Engineer with 5-10 years of experience in timeseries forecasting sensorlevel feature engineering and optimization models for industrialenergy systems Strong background working with PI historian operational telemetry and production facility constraints Proficient in designing endtoend ML pipelinesfrom OT data extraction and feature engineering to model deployment monitoring and operatorcentric UI delivery Adept at translating complex MLoptimization outputs into clear operational instructions used by fieldproduction teams Senior ML Engineer 3 years Applied Scientist Energy Optimization OT Data ML Specialist Azure ML Pipelines endpoints environments registries ADF and Azure Databricks PySpark Delta Lake DLT CICD via Azure DevOps YAML pipelines automated retrains Monitoring Application Insights Azure Monitor data drift monitors Containerization Docker ONNX model packaging Working knowledge of containerization Docker and API deployment FastAPIFlask Preferred Qualifications Experience in oil gas energy or industrial automation environments
Exposure to artificial lift systems ESPgaslift or hydraulic flow models
Knowledge of physicsbased modeling surrogate modeling or hybrid MLphysics workflows
Experience with realtime streaming Event Hubs Kafka IoT Hub
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Software Engineering Skills
Python NumPy Pandas PyTorch Scikitlearn
PySpark Delta Lake ADLS
REST APIs FastAPIFlask
Git testing frameworks logging monitoring best practices
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Soft Skills
Strong crossfunctional communication with production engineers operators SMEs
High ownership ability to simplify complex ML outputs
Can work with ambiguity and evolving requirements
Comfortable leading design discussions and technical decisions
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Work timing 01.30-10.30PM
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