Job Location: Bengaluru
Years of Experience: 5-10years
Work Timing - 01:30 PM - 10:30 PM IST
Mandatory should be available for Physical interview in RMZ Bellandur, Bangaluru
Ready to work from client location (4 days WFO) and every Monday WFH.
Office Location – RMZ Ecoworld, Bellandur

Job Summary
Preferable: Production Engineering knowledge Oil & Gas industry
Timeseries ML and constrained optimization for production ramp/sequence planning; ability to encode facility guardrails and drawdown targets.
Pressuresystem feature engineering using DHP/WHP/Manifold/Up/Downstream signals; comfort reconciling telemetry with physical intuition.
OT/historian (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 CI/CD for retrains and can migrate from HPCtrained models to cloudserved artifacts.
Operatorcentric delivery: translating model outputs into clear ramp steps/visual cues (stoplights, countdowns) and validating against controlroom practice.
Key Responsibilities




A highly skilled Machine Learning Engineer with 5–10 years of experience in timeseries forecasting, sensorlevel feature engineering, and optimization models for industrial/energy systems. Strong background working with PI historian, operational telemetry, and production facility constraints. Proficient in designing endtoend ML pipelines—from OT data extraction and feature engineering to model deployment, monitoring, and operatorcentric UI delivery. Adept at translating complex ML/optimization outputs into transparent operational instructions used by field/production teams.
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Monitoring: Application Insights, Azure Monitor, data drift monitors
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📌 Machine Learning Engineer (Bengaluru)
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📍 Bengaluru