Senior Technical Lead

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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