Remote Machine Learning Engineer

Description:

• 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.