Senior Applied Machine Learning Engineer

• Improve existing churn, retention, and account segmentation models using customer data
• Evaluate predictions against renewal, churn, expansion, and adoption outcomes
• Build time-based backtests preventing 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
• Run recall analysis for every existing customer using fixed test sets and ship identified improvements within the first 30 days
• Within 3–6 months, automate evaluation and flag drops in recall, label quality, or product-usage signals
• Build and validate new models for expansion, cross-sell, forecasting, and marketing use cases
• Work with the Principal Backend Engineer, owning prediction quality while they own the surrounding product

• 5+ years of applied ML experience with structured business data in production
• Strong foundations in mathematics and statistics from a rigorous academic programme
• 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
• Strong SQL skills
• Engineering ability to ship changes inside a product codebase
• Ability to work with Go application code
• Ability to use Python for analysis and take improvements into production
• Ability to investigate individual prediction errors and explain them to people without an ML background
• Ability to independently drive unclear problems through investigation, testing, and implementation
• Candidate currently working at a product based organisation is a must
• An IIT or similarly strong programme is preferred
• A public GitHub profile, side project, or technical blog is a strong plus
• Candidates should be citizens of India and currently based in India
• Candidates sought who can join within 30 days

• Full-time contractor arrangement with FunnelStory
• The company will not make any deductions from agreed compensation