Data Scientist - ML, Python

Overview

Pune, Maharashtra
Job Summary

3. Classical (Traditional) AI/ML Roles – Requirement Details

3.1 Mandatory Skills

Candidates must have strong expertise in:
Statistical inference
Exploratory Data Analysis (EDA)
Feature engineering & feature selection
Data transformation, scaling, and outlier detection

3.2 ML Techniques & Algorithms

Model selection and model building
Ensembling techniques
Evaluation metrics

Algorithms:
Linear regression
Logistic regression
Random forest
Decision trees
Gradient boosting methods

3.3 Deployment / Platform Skills

Model deployment and monitoring (drift detection)

Hands-on experience with:
Databricks
AWS

3.4 Experience Requirement

Minimum 7 years in AIML domain

3.5 Key Clarification

Deep learning / Gen AI skills not mandatory

Strong focus on production-grade ML solutions

Key Responsibilities
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Other Requirements

3. Classical (Traditional) AI/ML Roles – Requirement Details

3.1 Mandatory Skills

Candidates must have strong expertise in:
Statistical inference
Exploratory Data Analysis (EDA)
Feature engineering & feature selection
Data transformation, scaling, and outlier detection

3.2 ML Techniques & Algorithms

Model selection and model building
Ensembling techniques
Evaluation metrics

Algorithms:
Linear regression
Logistic regression
Random forest
Decision trees
Gradient boosting methods

3.3 Deployment / Platform Skills

Model deployment and monitoring (drift detection)

Hands-on experience with:
Databricks
AWS

3.4 Experience Requirement

Minimum 7 years in AIML domain

3.5 Key Clarification

Deep learning / Gen AI skills not mandatory

Strong focus on production-grade ML solutions

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