Role Overview - Were hiring an ML Ops Engineer / Data Engineerto own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys, monitors, and retrains them. Youll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On - ML lifecycle infrastructure * Productionizing models: packaging, deployment, versioning, and rollback
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