Job Description
Role: ML Engineer – Py Spark & 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, Sci Py, Pandas, Num Py 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:
Develop and maintain statistical/ML modules (DID, Synthetic Control, A/B Testing, Multi-Treatment Effects) in Python Build and extend Fast API services and integrate them w...Apply for this Position
Ready to join Gloify? Click the button below to submit your application.
Submit Application