As a Sr. ML Engineer on the Subs Intelligence team, you will work closely with
Subscriptions Data Scientists to build the pipelines and feature stores that
take journey-prediction and intervention-matching models — churn risk,
conversion propensity, and offer/response models — into production, and ensure
their ongoing upkeep. You will also build the workflow and pipeline for
subscriber lifecycle forecasting, powering scalable, always-on, personalized
engagement across the customer journey (onboarding → engaged → churn risk →
re-acquisition).
About the team:
Subscriptions and Payments Team powers the end-to-end direct monetization engine
for India’s largest subscription platform, with over 250M+ subscriptions. We
build scalable, multi-tenant systems for acquiring users via D2C and partner
channels, reducing churn through intelligent renewal and retry mechanisms, and
integrating deeply with global and local payment ecosystems like UPI Autopay and
card mandates. Our platform drives seamless onboarding, high retention, and
reliable payments at scale—enabling frictionless subscription experiences across
geographies and devices.
Key responsibilities:
* Possess deep knowledge of core systems and take full responsibility for the
code, design, and project delivery, ensuring high quality and on-time
completion
* Build and evolve end-to-end ML lifecycle systems from data processing to
model serving — for journey prediction, churn/conversion propensity, and
intervention-matching models — using technologies spanning big data
frameworks to ML platforms (TensorFlow, PyTorch)
* Design and implement sophisticated monitoring systems that track both
technical health and model quality metrics (prediction accuracy, drift,
intervention lift)
* Create advanced experimentation frameworks that enable rapid A/B testing of
journey-prediction algorithms