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

Skill Requirements

Other Requirements