Machine Learning Engineer
Waveapps👥 201 - 500 employees🏢 Computer Software
As a Machine Learning Engineer, you will design, develop, and deploy AI and ML models, ensuring their efficiency and integration into organizational goals.
Machine Learning Engineer
🕒 2 days ago
MlopsMachine LearningModel ServingStreaming Systems
📜 Description
- Own the MLOps foundation, automate the model lifecycle, and integrate streaming data pipelines.
- Design, build, and maintain the MLOps platform with CI/CD practices for ML.
- Take models from research to robust, scalable production services.
- Automate retraining, evaluation, and deployment pipelines to minimize manual intervention.
- Integrate ML models with streaming data platforms for real-time feature computation.
🛠️ 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.
- Exposure to LLM and agent frameworks and evaluation practices.
✨ 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
Full job description
Who We Are
At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by veterans from payments and technology, including people who previously built Rappi, Yuno connects companies like InDrive, McDonald's, Rappi and Viva Aerobus with 300+ payment methods worldwide via a single API. We use AI and modern technology for intelligent transaction routing and fraud prevention across more than 80 countries.
About The Role
We are looking for a Machine Learning Engineer (mid level, 5 to 8 years of experience) based in Europe to build and scale the infrastructure that takes machine learning models from notebook to production. You will own the MLOps foundation, automate the model lifecycle, integrate streaming data pipelines and bring agentic capabilities into our ML systems. This is a hands on role for someone who cares as much about reliability and observability as about model performance. You will join the Data, AI and ML team and work closely with data science, platform and product teams.
Your Contribution Will Be
Minimum Qualifications
Preferred Qualifications
What We Offer at Yuno
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, or to exercise your data protection rights, please contact us.
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