ML Software Engineer

It's fun to work in a company where people truly BELIEVE in what they're doing!

About Us

Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity. As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information, visit.

Position Overview

We are seeking a Software Engineer to integrate and implement standard machine learning models (such as classification, regression, clustering) into our production systems. This role focuses on incorporating pre-trained ML models into our existing applications and data flows, ensuring reliable and efficient implementation.

Key Responsibilities

• Integrate pre-trained ML models (scikit-learn, XGBoost, etc.) into production systems
• Implement model serving solutions for classification and regression tasks
• Develop data preprocessing and transformation pipelines
• Ensure efficient model inference in production environments
• Build monitoring systems for model performance and data drift
• Optimize model serving for latency and throughput
• Implement proper error handling and fallback mechanisms
• Create documentation for model integration and maintenance

Required Qualifications

Technical Skills

Preferred Qualifications

Key Competencies

Soft Skills