Machine Learning Engineer – Pricing Intelligence - ( Job ID - 21297)

Job Description

Location : Ichchapor GIDC, Surat, Gujarat

Department : Pricing Automation

Industry : Diamonds

Experience : 2–5 years

Salary : Up to ₹35,000 (Negotiable)

Role Summary :

We are seeking a Machine Learning Engineer – Pricing Intelligence to design, develop, and refine pricing algorithms that determine base prices, discounts, and performance thresholds using historical sales and inventory data. The ideal candidate should possess strong analytical abilities and practical experience in building and optimizing data-driven pricing models.

Key Responsibilities :

Analyze historical pricing, sales, and inventory data to identify trends.

Develop predictive models for price and discount optimization.

Detect outliers and maintain logical pricing consistency.

Continuously refine models using live data and feedback.

Combine rule-based and statistical approaches for hybrid pricing.

Collaborate with engineers to deploy models in production.

Required Technical Skills :

Proficiency in Python (pandas, numpy, scikit-learn, matplotlib) .

Strong knowledge of SQL for multi-table data cleaning and analysis.

Experience with statistical modeling, regression, and outlier handling .

Ability to export and integrate models with SQL or Excel.

Familiarity with versioning and performance logging tools.

Preferred Skills :

Experience with pricing models, trading systems , or diamond 4C logic .

Understanding of sales pipeline data and explainable ML methods .

Soft Skills :

Strong analytical and logical thinking.

Clear communication of technical insights.

Balanced approach to data-driven and rule-based logic.

Educational Qualification :

Bachelor’s or Master’s Degree in Computer Science, Data Science, Statistics, or a related field.

To Apply :

Send your updated CV to

sudhir@educohire.com

Requirements

Required Technical Skills : Proficiency in Python (pandas, numpy, scikit-learn, matplotlib). Strong knowledge of SQL for multi-table data cleaning and analysis. Experience with statistical modeling, regression, and outlier handling. Ability to export and integrate models with SQL or Excel. Familiarity with versioning and performance logging tools. Preferred Skills : Experience with pricing models, trading systems, or diamond 4C logic. Understanding of sales pipeline data and explainable ML methods. Soft Skills : Strong analytical and logical thinking. Clear communication of technical insights. Balanced approach to data-driven and rule-based logic.