Salary
≈ $17k – $63k per year (Estimated)
Location
In office (Gurgaon)
Overview
Company
Impact
Profile match
Meesho is an Indian e-commerce company headquartered in Bengaluru and founded in 2015. The company operates an online marketplace that enables small businesses and individual entrepreneurs to sell products such as apparel, home goods, and electronics directly to consumers. Originally established as a social commerce platform facilitating sales through networks like WhatsApp and Facebook, it has evolved into a large-scale retail ecosystem serving millions of users across India.
Responsibilities:
- Develop machine learning and statistical models for fraud prevention, risk scoring, and credit underwriting.
- Analyse large-scale behavioural and transactional datasets to identify patterns, anomalies, and emerging fraud trends.
- Design and run experiments to evaluate, compare, and improve model performance.
- Partner with engineering to deploy models into production and ensure they are reliable, observable, and performant at scale.
- Monitor live models for drift and degradation, and lead retraining and improvement cycles.
- Collaborate with product and risk teams to translate business problems into modelling solutions.
Requirements:
- Strong expertise in Python and SQL, and hands-on experience with ML frameworks such as scikit- learn, XGBoost, PyTorch, or TensorFlow.
- Solid foundation in classical machine learning, statistical modelling, and experiment design.
- Experience taking models from notebook to production, including monitoring and iteration.
- Ability to communicate complex findings clearly to technical and non-technical stakeholders.
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