Machine Learning Engineer

🔥 18 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Yuno

WebsiteLinkedInAll Job Openings

11 - 50 employees

💳 Fintech

🏢 Enterprise

☁️ SaaS

Fintech • Enterprise • SaaS

Yuno is a company that provides payment orchestration and infrastructure solutions on a global scale. Their technology empowers businesses to integrate over 300 payment methods, boosting acceptance rates and enabling seamless scaling of payment operations across multiple regions. Yuno focuses on providing a simplified payment process with features like smart routing, unified payment insights, auto reconciliation, and custom checkout options. They emphasize security and fraud management, ensuring safe transactions. Yuno facilitates global payouts and subscription management, making them an ideal partner for businesses looking to optimize their payment systems and increase revenue.

📋 Description

• Design, build and maintain the MLOps platform, including experiment tracking, model registry, versioning and reproducible training pipelines. • Establish CI/CD practices for ML with automated testing, validation gates and promotion workflows from development to production. • Define standards and tooling for feature stores, model artifacts and environment reproducibility. • Take models from research or prototype stage to robust, scalable production services. • Build low-latency, high-availability serving infrastructure for batch, online and real-time inference. • Implement monitoring for model performance, data drift and concept drift, with alerting and rollback paths. • Partner with data science teams to harden models for production constraints such as latency, cost and scale. • Automate retraining, evaluation and deployment pipelines. • Build self-healing and auto-rollback mechanisms. • Create tooling enabling ML practitioners to ship models without deep infrastructure expertise. • Integrate ML models with Kafka, Kinesis or Flink for real-time feature computation and inference. • Design low-latency feature pipelines bridging batch and streaming data sources. • Ensure consistency between offline training and online serving feature computation. • Design and integrate agentic workflows, including LLM-based agents and tool-calling pipelines, alongside traditional ML models. • Build observability, guardrails and evaluation frameworks for reliable production agentic systems. • Explore agents automating parts of the ML lifecycle, including monitoring, triage and retraining decisions. • Work closely with data science, platform and product teams.

🎯 Requirements

• 5 to 8 years of experience in ML engineering, MLOps or backend infrastructure with ML systems in production. • Strong software engineering fundamentals; comfortable owning services end to end. • Experience with model serving frameworks (Seldon, KServe, BentoML, TorchServe or similar) and orchestration tools (Airflow, Kubeflow, MLflow or similar). • Hands on experience with streaming systems (Kafka, Kinesis, Flink or similar). • Familiarity with containerization and orchestration (Docker, Kubernetes). • Experience with observability tooling (metrics, tracing, logging) for ML or distributed systems. • Strong communication skills and comfort working cross functionally with data science, platform and product teams. • Fluent English. • Based in Europe.

🏖️ Benefits

• Competitive Compensation • Remote Work: you can work from everywhere • Home Office Bonus: a one time allowance to set up your ideal home office • Work Equipment • Stock Options • Health Plan wherever you are • Flexible Days Off • Language, Professional, and Personal Growth courses