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Manual QA Engineer at Flowwow, an online gifting/flower-delivery marketplace, running functional, integration, regression and smoke tests on web and mobile apps. Day to day: maintaining test docs in Qase, testing REST APIs in Postman, writing SQL checks, and tracking defects with the dev team in Jira.
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.
Senior Data Engineer building and optimizing a custom lakehouse platform (Apache Iceberg, Trino, Spark) with AI-driven tooling for a global gift marketplace.
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