Requirements
• 5+ years of applied ML experience with structured business data in production.
• Strong foundations in mathematics and statistics from a rigorous academic programme. An IIT or a similarly strong programme is preferred.
• Experience owning a production model used for business decisions, such as churn, retention, propensity, customer health, or segmentation.
• Strong understanding of classification, precision, recall, fixed test sets, and time-based evaluation.
• Ability to identify and fix data leakage, incorrect labels, and weak features.
• Experience working with messy CRM and product-usage data.
• Solid SQL skills and the engineering ability to ship changes inside a product codebase.
• Ability to work with Go application code. Python can be used for analysis, but improvements must reach production.
• Experience investigating individual prediction errors and explaining them to people without an ML background.
• Ability to independently drive unclear problems through investigation, testing, and implementation.
• A public GitHub profile, side project,



or technical blog is a strong plus.
• Candidate currently working at a product based organisation is a must.

Responsibilities
• Improve existing churn, retention, and account segmentation models using customer data.
• Evaluate predictions against actual renewal, churn, expansion, and adoption outcomes.
• Build time-based backtests that prevent models from accessing future information.
• Investigate incorrect predictions account by account and identify gaps in labels, features, or source data.
• Ship improvements into the existing Go product, rather than stopping at analysis notebooks.
• Explain model performance and prediction errors to customers in clear business terms.
• Keep internal queries and training datasets confidential when discussing results.
• In the first 30 days, run recall analysis for every existing customer using fixed test sets and ship improvements identified through that analysis.
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📌 Senior Machine Learning Engineer (India)
🏢 ClanX
📍 India