Job Description
Role: ML Engineer – PySpark & Statistical modeling
Experience: 3+ Years
Location: Remote with 1 visit to client office in Bangalore, during onboarding and 1 more (if required)
Mandatory Skills: Python (3.9+), Py Spark & Spark Internals, Databricks, Statistics/ML Libraries (stats models, scikit-learn, SciPy, Pandas, NumPy DID, Synthetic Control, A/B testing, hypothesis testing, panel data methods), API Development, Azure Cloud Platform, Kubernetes, Docker, Py Test.
Role Overview: We're looking for an ML Engineer to join our Test & Learn Platform team. You'll build and scale our experimentation and causal inference services — from statistical engines to API integrations and cloud pipelines — empowering business teams globally to make data-driven decisions.
Responsibilities:
1. Develop and maintain statistical/ML modules (DID, Synthetic Control, A/B Testing, Multi-Treatment...