DetailsGradeSeniorWork formatRemoteEmploymentFull-timeEnglish levelB2, upper-intermediateAdditionalAdd to my applicationsAdd to my applicationsA cover letter for this jobAn email or a Telegram message to the recruiterWrite a letterDescriptionOriginal textRequirements• Strong Python • AWS / SageMaker • MLOps, CI/CD • Docker + Kubernetes • ML lifecycle tools: MLflow / Kubeflow / SageMaker Pipelines • Production experience with ML & LLM applications • Generative AI / LLMOps • PySpark / Apache Spark • FastAPI / Flask • Model training, fine-tuning, evaluation & optimizationBenefits100% Remote 📍 100% Remote | 🇬🇧 English B2+ 📅 Duration: 3 months + extension 💰 Rate: TBD ⏰ Full-time100% Remote Must-have: • Strong Python • AWS / SageMaker • MLOps, CI/CD • Docker + Kubernetes • ML lifecycle tools: MLflow / Kubeflow / SageMaker Pipelines • Production experience with ML & LLM applications • Generative AI / LLMOps • PySpark / Apache Spark • FastAPI / Flask • Model training, fine-tuning, evaluation & optimization 📍 100% Remote | 🇬🇧 English B2+ 📅 Duration: 3 months + extension 💰 Rate: TBD ⏰ Full-time?%Is this job a fit for you?We compare skills, grade, work format and salaryCompare with my resumeKey skillsPythonAWSSageMakerMLOpsCI/CDDockerKubernetesMLflowKubeflowLLMGenerative AISparkFastAPIFlaskSalary estimate125,000USDper yearMost often 96,400 to 166,000
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