We’re hiring an ML Ops Engineer / Data Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production.
Requirements
- 3–7 years of professional experience in ML Ops, Data Engineering, or adjacent backend roles
- Strong production Python skills (clean APIs, testing, performance awareness)
- Experience deploying and operating ML models in production environments
- Solid understanding of: Model training vs. inference requirements, Batch vs. streaming data pipelines, Failure modes in data-driven systems
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