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About the Role:\n- Build and scale ML infrastructure from notebook to production.\n- Own MLOps foundation and automate model lifecycle.\n- Integrate streaming data pipelines and agentic capabilities.\n\nResponisibilities:\n- Design and maintain MLOps plattform (experient track, model registry, CI/CD).\n- Productionize models into robust, scalable services with monitoring.\n- Automate retraining, evaluation, and deployment pipelines.\n\nQualifications:\n- 5-8 years of ML engineering experience with production systems.\n- Strong sofware engineering fundamentals, end-to-end service owneer.\n- Experience with model serving frameworks (Seldon, KServe, BentoML) and orchestration tools.\n\nWhat We Offer:\n- Competitive compensation and remote work.\n- Home office bon us, work equippment, stoch options.\n- Helth plan, flexcible days off, and learning cources.
Yuno
Yuno builds payment infrastructure that connects companies to over 300 payment methods worldwide via a single API, using AI for intelligent routing and fraud prevention. It is a growing company with a global reach, founded by veterans from payments and technology, and emphasizes innovation and remote collaboration.