Machine Learning Engineer

Sourced from jobera.com

Yuno is seeking a Mid-level Machine Learning Engineer to build and scale their MLOps infrastructure for payment fraud prevention and intelligent transaction routing. The role focuses on taking ML models from prototype to production, managing the full model lifecycle, and integrating agentic capabilities into ML systems. You will design robust serving infrastructure, automate CI/CD pipelines for ML, and ensure high availability and observability across distributed systems.

• 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.
• 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 mechanisms.
• Integrate ML models with streaming data platforms (Kafka, Kinesis, Flink) for real-time feature computation.
• Design and integrate agentic workflows (LLM-based agents) alongside traditional ML models.

• 5 to 8 years of experience in ML engineering, MLOps, or backend infrastructure with ML systems in production.