Senior Back-End/MLOps Engineer

Hybrid back-end and MLOps role for a real-estate marketplace: build systems powering search, ranking, and matching, plus ML pipelines, model deployment, feature stores, and real-time data infrastructure. Requires 5+ years of back-end or full-stack experience, proficiency in Go, Python, Ruby, or JavaScript/TypeScript, and hands-on MLOps with tools like Vertex AI, MLflow, or Kubeflow. SQL, cloud platforms (GCP preferred), recommendation systems, and latency optimization are valued. Fully remote with USD compensation.

Location per source: LatAm (remote)

Source: Truelogic

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