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A leading company specializing in liquidity performance is looking for a Software Engineer to integrate machine learning models into production systems. The ideal candidate will have a strong software engineering background, experience in ML libraries, and the ability to optimize model performance in real-time environments. This position provides an opportunity to work with cutting-edge technology and make a significant impact on the company's products and customer satisfaction.
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
Required Qualifications
Technical Skills
Preferred Qualifications
Soft Skills