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Backend Python Developer with a strong focus on ML infrastructure
Requirements: Stack: Python, FastAPI, asynchronous programming. Experience with TorchServe / Triton / ONNX. Understanding of MLOps and ML pipelines. Experience with production ML systems. Building ML infrastructure (training + inference). Development and support of pipelines. Model optimization (speed / cost / stability). Model deployment and scaling. Setting up monitoring and metrics.
**Location:**📍Remote. Full-time.
Contact for application: recruiter contact + CV
6 months ago
Work Format
Remote
Employment
Full-time
Work Format
Remote
Employment
Full-time
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