Specialist - Architecture

Role description

Location- Bangalore

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 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

Mandatory Skills : MLOPS

About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/