Straive is seeking an experienced ML Engineer to work with large datasets, identify patterns, and build fraud detection models. You will develop end-to-end ML solutions, from data prep to deployment, leveraging Python, SQL, and modern ML techniques in a collaboration-heavy environment.
The role emphasizes staying current with industry trends, applying best practices in model evaluation and explainability, and utilizing cloud platforms and tools like Docker, Airflow, Spark, and ML Ops to deliver
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