Specialist - Architecture

Role Description

Location- Bangalore

Years of Experience 5-7 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 clear 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
Skills Required
constrained optimization , Git, Docker, Azure Databricks, Flask, Adf, Pandas, Numpy, Pyspark, Cicd, Rest Apis, FastAPI, Pytorch, Azure ML, Python