Principal Applied Scientist - Machine Learning

Machine Learning Engineer (A2)

Experience: 2–4 Years

Location: Gurugram/ Bangalore

Role Summary

We are looking for a Machine Learning Engineer with 2–4 years of experience to help

scale our search and recommendation infrastructure. This role focuses on the end-to

end lifecycle of ML products: from building large-scale data pipelines to deploying high

availability models in production.

You will be responsible for building robust PySpark ETLs, developing PyTorch-based

models, and managing Vector Databases to power real-time discovery. While the core

applications are traditional search and recommendations, you will also be responsible

for fine-tuning LLMs/SLMs for specific use cases.

Key Responsibilities

- Architect and maintain scalable ETL pipelines using PySpark to process large

datasets for feature engineering and model training.