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ML Infrastructure Engineer — GPU Cost Optimisation

Paul Nguyen

Freelance · Senior

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About the role

Our ML training and inference costs went from $40k/month to $180k/month in 8 months. Nobody knows exactly why. We need an ML infra engineer to audit our GPU usage — what's running, what's idle, what's overprovisioned — and implement a cost reduction plan. Currently: mixed AWS (SageMaker training) and GCP (GKE serving). Training jobs run for weeks with no visibility into whether they're actually using the GPUs efficiently. Expected output: usage audit report, 3-month savings roadmap, and implementation of the top 5 quick wins.

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Categories

MLOps & AI Infrastructure

Skills

python kubernetes docker aws gcp

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Contract Type

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Level

Senior

Budget Range

$100 – $150 / hour

Duration

2 months

AI Expertise

MLOps & AI Infrastructure

Skills

python kubernetes docker aws gcp

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