Description:

Design and build end-to-end machine learning systems for Iterable's AI customer engagement platform.
Own the full model lifecycle from research to production deployment, ensuring reliability and performance.

Requirements:

5+ years of hands-on Machine Learning Engineering experience with complex models in production.
Mastery of Databricks and Spark for building and optimizing production data pipelines.
Proven track record in production-level model engineering, including deep learning and ensemble architectures.
Strong Python and/or Scala skills focused on readable and maintainable code.
Experience with microservice backends, distributed computing (Ray/Spark), and containers (Kubernetes).
Pragmatic approach prioritizing latency, reliability, and customer impact.

Opportunity to work with a diverse and inclusive team in a global company.
Real autonomy in shaping the direction of AI at Iterable and mentoring fellow engineers.

Skills