About Chargebee:
Chargebee is the leading Revenue Growth Management (RGM) platform for subscription businesses. Thousands of companies at every stage of development — from startups to enterprises — use Chargebee to unlock revenue growth, experiment with new offerings and monetization models, and maintain global compliance as they scale.
Chargebee counts businesses like Freshworks, Calendly, and Study.com amongst its global customer base and is proud to have been named a Leader in Subscription Management by G2 for five consecutive years, as well as a Great Place to Work in both the United States and India.
We are backed by some of the most respected investors in the world; Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Venture, who believe in the magic of subscriptions and the world that they can create — from cars to coffee pods and everything in between. With headquarters in San Francisco and Amsterdam,our 1000+ team members work remotely throughout the world, including in India, Europe and the US.
What You'll Do
Build and maintain ML pipelines that operationalize machine learning models
Develop and deploy low-latency, highly scalable, containerized (Docker) microservices
Participate in cross-functional design sessions to architect solutions to shared engineering challenges
Partner with software engineers, data engineers, and data scientists to build and integrate ML models into Chargebee's products
Build and improve internal ML platform tooling to accelerate development, deployment, and monitoring of models in production
What Makes You a Outstanding Fit
3+ years of experience building distributed systems
Prior experience on an ML team or ML platform team
Experience building both batch and streaming data solutions
Strong coding ability in at least one language (Python preferred), with familiarity with common ML libraries
Hands-on experience with big data technologies such as Spark, SparkML, or Hadoop
Solid understanding of performance optimizati