Remote ML engineer to develop Flowwow's recommendation systems, evolving them from a rule-based baseline to ML models: building training/inference pipelines and running an offline-validation + A/B experiment loop. Core stack: Python, PyTorch/TensorFlow, SQL, Linux/Git/Docker, plus vector DBs, feature stores, and MLOps tooling.
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