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MFX Infotech Private Limited
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ML OPs Engineer Pricing Optimizer Development

ML OPs Engineer Pricing Optimizer Development

MFX Infotech Private Limited

6 - 12 years

20 Lacs

bengaluru karnataka india

Posted:1 week ago| Platform: Foundit logo

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Skills Required

pyomo cvxpy

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

We are looking for a skilled ML Engineer to design and build a robust, interpretable, and scalable optimization engine that enables data-driven pricing decisions. The engine will leverage SKU-level demand, elasticity, and profitability data to recommend optimal pricing strategies based on business goals.

Key Responsibilities

Refactor and enhance the existing optimization logic for speed, scalability, and modularity.
Model price-volume relationships using elasticity inputs at SKU and brand levels.
Develop optimization logic using constrained techniques (e.g., linear/quadratic programming).
Integrate business rules and constraints such as price bounds, SKU/brand-level caps, and TDP limits.
Enable scenario-based optimization with user-defined goals (e.g., maximize profit or volume).
Support multi-brand optimization without interdependency between SKUs and brands.
Collaborate with cross-functional teams to validate model behavior and outcomes.

Inputs You'll Work With

SKU-level data: volume, elasticity, profitability, TDP, and price bounds.
Business rules: brand-level caps, SKU exclusions, optimization targets.

Deliverables

Modular Python-based optimization engine.
JSON-based input/output support for seamless integration.
Logging and fallback mechanisms for infeasible constraints.
Unit tests and validation with historical data.

Tech Stack & Skills

Proficient in Python, especially NumPy, Pandas, SciPy or Pyomo/CVXOPT.
Experience with constrained optimization techniques.
(Preferred) Background in price optimization, demand modeling, or econometrics.

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