Senior Applied Machine Learning Engineer

ClanX

. Improve existing churn, retention, and account segmentation models using customer data .

Posted 10/13/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applied Machine Learning with a focus on customer data analysis, model evaluation, and improvement. Proficient in SQL, Python, and Go, with a strong foundation in mathematics and statistics to drive business decisions through predictive modeling.

Highest-signal resume keywords

Applied Machine Learning ExperienceSQL ProficiencyPython for AnalysisGo Application DevelopmentModel Evaluation and Improvement

ATS Keywords

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Hard Skills

Machine LearningModel EvaluationData Leakage IdentificationClassificationPrecisionRecallFixed Test SetsTime-Based EvaluationStatistical AnalysisData Analysis

Soft Skills

Problem-SolvingCommunicationIndependent InvestigationCollaboration

Tools & Technologies

SQLPythonGoCRM DataProduct-Usage Data

Industry Keywords

Churn ModelsRetention ModelsAccount SegmentationCustomer HealthBusiness Decisions

Tech Stack

Tools & technologies

PythonSQLGo

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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