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.
- 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 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, environments, registries
- ADF and Azure Databricks (PySpark, Delta Lake, DLT)
- CI/CD via Azure DevOps — YAML pipelines, automated retrains
- Monitoring: Application

📌 Azure ML Engineer (Bengaluru)
🏢 VARITE
📍 Bengaluru