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OnsiteMid Levelenergy and industrial infrastructure

Meteorological Expert With Expertise In Machine Learning

Quant Power Labs Private LtdBengaluru, Karnataka, IndiaPosted 19 May 2026

Quant Power Labs develops advanced optimization and forecasting systems for the energy sector. This role involves developing meteorological models and integrating machine learning algorithms to enhance forecasting accuracy for power market decision-making. The candidate must possess expertise in weather forecasting and statistical modeling with programming proficiency in Python or R. This is an on-site, full-time position located in Bengaluru requiring at least a Master's degree.

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Experience

Experience not specified

Function

Research

Work mode

Onsite, India

Company

Tier 2

What you will work on

Quant Power Labs develops advanced optimization and forecasting systems for the energy sector. This role involves developing meteorological models and integrating machine learning algorithms to enhance forecasting accuracy for power market decision-making. The candidate must possess expertise in weather forecasting and statistical modeling with programming proficiency in Python or R. This is an on-site, full-time position located in Bengaluru requiring at least a Master's degree.

TAL's take

Quality 58/1005/5 clarityTier 2 company

Defined role in the energy sector with specific technical requirements, though the company brand is not widely recognized as tier-1.

The JD clearly defines the role responsibilities and required domain expertise in meteorology and machine learning.

Must haves

  • Proficiency in Meteorological Data Analysis
  • Expertise in Machine Learning and Statistical Modeling
  • Programming experience in Python or R
  • Knowledge of energy market dynamics
  • Master's or Doctorate degree in relevant field

Tools and skills

meteorological data analysisweather forecastingclimate modelingmachine learningstatistical modelingpredictive analyticspythonr

Nice to have: large-scale datasets, visualization tools, operational forecasting systems, optimization approaches.

About the company

unfamiliar company, default mid-tier

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