Machine Learning Engineer
New
Y
YunoFintech Payments
Based in EuropeFull-TimeMiddle
SalaryCompetitive Compensation
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Job Details
- Languages
- Fluent English
- Experience
- 5 to 8 years
- Required Skills
- DockerPythonKafkaKubernetesMLFlowAirflowMLOps
Requirements
- 5 to 8 years of experience in ML engineering, MLOps, or backend infrastructure with ML systems in production.
- Strong software engineering fundamentals with the ability to own services end-to-end.
- Experience with model serving frameworks (e.g., Seldon, KServe, BentoML, TorchServe).
- Experience with orchestration tools (e.g., Airflow, Kubeflow, MLflow).
- Hands-on experience with streaming systems (e.g., Kafka, Kinesis, Flink).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Experience with observability tooling for ML or distributed systems.
- Strong communication skills and comfort working cross-functionally.
- Fluent in English.
- Based in Europe.
Responsibilities
- Design, build, and maintain the MLOps platform including experiment tracking, model registry, and reproducible training pipelines.
- Establish CI/CD practices for ML with automated testing, validation gates, and promotion workflows.
- Productize ML models by building scalable serving infrastructure for batch, online, and real-time inference.
- Implement monitoring for model performance, data drift, and concept drift with automated alerting and rollback mechanisms.
- Integrate ML models with streaming data platforms like Kafka, Kinesis, or Flink for real-time feature computation.
- Design and integrate agentic workflows and LLM-based agents, including guardrails and evaluation frameworks.
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