Overview
Experience: 3+ years
Salary: Confidential (based on experience)
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid (Mumbai)
Placement Type: Full time Permanent Position
(*Note: This is a requirement for one of Uplers' client- Shaadi.com)
Required skills: Python, AWS or GCP
What You’ll Do:-
● 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
What We’re Looking For:-
● 2–4 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
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!