Job Description

Office Location:

Maharashtra, Mumbai

Experience Required: 2-5 Years

Notice Period: 30 Days

Outstation Candidates Allowed

Role & Responsibilities:

Partner with Product to spot high-leverage ML opportunities tied to business metrics. Wrangle large structured and unstructured datasets; build reliable features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Power user-to-user discovery and ranking (matchmaking at scale) Detect and block fraud/risk in real time Score conversion/churn/acceptance propensity for targeted actions Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Design and run A/B tests with guardrails. Build monitoring for model/data drift and business KPIs
Ideal Candidate

2-5 years of DS/ML experience in consumer internet / B2C products, with 7-8 models shipped to production end-to-end. Proven, hands-on success in at least two (preferably 3-4) of the following: Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus) Fraud/risk detection (severe class imbalance, PR-AUC) Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation) Propensity models (payment/churn) Programming: strong Python and SQL; solid git, Docker, CI/CD. Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau). ML breadth: recommender systems, NLP or user profiling, anomaly detection. Communication: clear storytelling with data; can align stakeholders and drive decisions
Job Types: Full-time, Permanent

Pay: ₹2,100,000.00 - ₹2,800,000.00 per year

Application Question(s):

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+ usecaseds 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) What's your current company? Which use cases you have hands on experience? Are you ok for Mumbai location (if candidate is from outside Mumbai)? Reason for change (if candidate has been in current company for less than 1 year)? Reason for hike (if greater than 25%)?
Work Location: In person