Job Description

Job Summary

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
• Python (PySPark)

3.2 ML Techniques & Algorithms

• Model selection and model building
• Ensembling techniques
• Evaluation metrics
• Algorithms:

o Linear regression

o Logistic regression

o Random forest

o Decision trees

o Gradient boosting methods

3.3 Deployment / Platform Skills

• Model deployment and monitoring (drift detection) (MLOPs/LLMOPs)
• Hands-on experience with:

o Databricks

o 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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Skill Requirements

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Other Requirements

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