Data Scientist

About the job

Read jd before applying Experience 2-5 years only in top b2c product company only. Strong Data Scientist/Machine Learnings/ AI Engineer Profile Mandatory (Experience 1) – Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models Mandatory (Experience 2) – Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc. Mandatory (Experience 3) – Must have hands-on experience in minimum 2+ use cases out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models Mandatory (Experience 4) – Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text Mandatory (Experience 5) – Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments Mandatory (Company) – Must be from product companies, Avoid candidates from financial domains (e.g., JPMorgan, banks, fintech)

Requirements

• Python
• ML models
• NLP
• APIs
• CI/CD
• Docker
• AWS
• GCP

Preferred Technologies

• Python
• ML models
• NLP
• APIs
• CI/CD
• Docker
• AWS
• GCP