About the Role
At Shaadi.com , we're not just building a product—we're building meaningful connections . ️ With millions of users across the globe, we leverage the power of Machine Learning and Data Science to solve real-world matchmaking challenges. If you're passionate about building intelligent models that drive business impact at scale, we'd love to have you on our team!
What You'll Do
Partner with Product teams to identify high-impact Machine Learning opportunities aligned with business goals.
Work with large structured and unstructured datasets to engineer reliable features and build scalable data pipelines.
Build, train, and deploy ML models for:
️ Personalized recommendations & matchmaking
Pricing and discount optimization
User discovery, ranking & recommendation systems
️ Fraud detection and risk mitigation
Churn, conversion & propensity prediction
- ️ Collaborate with Engineering teams to productionize models using APIs, Docker, CI/CD , and AWS .
Design and analyze A/B experiments to validate product improvements.
Monitor model performance, data drift, and business KPIs to ensure continuous optimization.
What We're Looking For
1-3 years of experience in Data Science / Machine Learning within Consumer Internet or B2C Product companies .
Proven experience shipping 4–5 ML models into production end-to-end.
Hands-on expertise in at least 2–3 of the following:
Strong programming skills in Python and SQL , along with Git, Docker & CI/CD .
- ️ Experience working with AWS/GCP , data warehouses ( Redshift/BigQuery ), and BI tools like Looker/Tableau .
Strong understanding of Machine Learning , NLP , Anomaly Detection , and User Profiling .
️ Excellent communication skills with the ability to translate data into business insights and influence stakeholders.
Why Join Shaadi.com?
️ Work on ML problems that impact millions of users .
Own end-to-end machine learning solutions—from experimentation to production.
Collaborate with talented Product, Engineering, and Data teams.
Solve real-world challenges where your work directly enhances customer experiences and creates meaningful connections.
