Company Name: VARITE India Private Limited

About The Client:

Client provides industry-leading audit, consulting, tax and advisory services to many of the world's most admired brands, including nearly 90% of the Fortune 500® and more than 9000 U.S.-based private companies.

About The Job:

Shift: 01:30PM-10:30 PM
5-10years, 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 explicit ramp steps/visual cues (stoplights, countdowns)



and validating against controlroom practice.

Qualifications:
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.
Robust 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 clear operational instructions used by field/production teams.
Senior ML Engineer (6+ years)
Applied Scientist – Energy Optimization
OT Data + ML Specialist
Azure ML: Pipelines, endpoints, settings, registries
ADF and Azure Databricks (PySpark, Delta Lake, DLT)
CI/CD via Azure DevOps — YAML pipelines, automated retrains
Monitoring: Application

📌 Azure Ml Engineer Bengaluru (India)
🏢 VARITE
📍 India