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Data Science

ML Platform Engineer

location_onON Site
schedulePosted 2 months ago
workFull-time Contract

Project Overview

Stratum Intelligence is building a centralised ML platform to serve 15+ internal data science teams. We need an ML Platform Engineer to architect and maintain the feature store, experiment tracking, model registry, and automated retraining pipelines.

This is a platform-focused role — you will not be building models yourself, but you will be the person who makes every data scientist 10x more productive.

Core Requirements

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MLOps Stack

Hands-on experience with MLflow, Kubeflow, or equivalent experiment tracking and pipeline tools.

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Feature Engineering

Experience building and operating production feature stores (Feast, Tecton, or custom).

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Infrastructure

Strong background in Kubernetes, Docker, and cloud infrastructure for ML workloads.

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Python & Orchestration

Proficiency in Python and workflow orchestration tools such as Airflow or Prefect.

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