About the role

ML Platform Engineer at Afresh responsible for enhancing machine learning platform capabilities. Collaborating with teams to facilitate AI-driven grocery solutions and tackle food waste.

Responsibilities

Elevate core ML platform performance, reliability, and scalability.
Work on infrastructure enabling ML and Applied Science teams to innovate faster and deliver impact.
Deliver features related to model configuration, integration testing, and real-time inference.
Own significant scalability improvements and additions to the ML platform.

BS in Computer Science or a relevant technical field.
3+ years of professional software development experience with a proven track record of shipping high-quality applications and services.
Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models.
Deep expertise in library design, API design, data structures, and algorithms.
Strong familiarity with Python.
You possess a genuine curiosity about ML modeling (e.g., demand forecasting, state estimation, ordering policy).
You have an understanding of how scientists work and build tools that bridge the gap between a research notebook and production-grade software.