Mid-Level Machine Learning Engineer (MLOps) at Yuno | Torre

Mid-Level Machine Learning Engineer (MLOps)

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Full-time

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Remote (specific timezone)
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GMT+00:00 to GMT+02:00
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Emma of Torre.ai
20 days ago

Responsibilities


Yuno is building payment infrastructure for global market participation, connecting companies with 300+ payment methods via a single API.Seeking a mid-level Machine Learning Engineer (5-8 years experience) in Europe to build and scale MLOps infrastructure, automate model lifecycle, and integrate streaming data pipelines.Requirements:5 to 8 years of experience in ML engineering, MLOps, or backend infrastructure with ML systems in production.Strong software engineering fundamentals and experience with model serving frameworks (Seldon, KServe, etc.) and orchestration tools (Airflow, Kubeflow, etc.).Hands-on experience with streaming systems (Kafka, Kinesis, etc.) and familiarity with containerization (Docker, Kubernetes).Experience with observability tooling for ML or distributed systems, strong communication skills, and fluent English.Must be based in Europe.Benefits:Competitive compensation and remote work flexibility.Home office bonus, work equipment, and stock options.Health plan, flexible days off, and opportunities for language, professional, and personal growth courses.