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MLOps Engineer

· office · middle
aidev Python 3.11asynciomultiprocessingthreadingDockerk8shelmFastAPIFastStreamKafkaPrometheusGrafana
4.1
AI Score
The vacancy has a clear tech stack but lacks compensation details and explicit responsibilities.
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Job description
We are looking for an MLOps Engineer with at least 2.5 years of experience in industrial development. Strong knowledge of Python and experience with Docker and Kubernetes is required.
Requirements
### Requirements - At least 2.5 years of experience as an MLOps Engineer - Higher education - Excellent knowledge of Python 3.11 - Experience with asyncio, multiprocessing, threading - Experience with Docker - Service assembly and optimization - Experience with k8s: helm, configurations, hpa, understanding of scaling services with ML models on CPU/GPU - Experience with FastAPI, FastStream+Kafka: web development, ability to write services, wrap existing ML solutions into services - Experience with Prometheus, Grafana, ELK: metrics setup, logging within services, configurations - Experience with Opensearch: vector databases, indexing
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