Machine Learning Engineer (Platform)
ArteraFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science or a related field, with a minimum of 5 years of experience in software engineering, specifically within machine learning platforms. Experience with big data frameworks, real-time streaming technologies, and MLOps practices is highly desirable. Familiarity with graph technologies and Large Language Models (LLMs) is preferred.
The Senior Software Engineer, Machine Learning Platform will be responsible for designing, building, and maintaining scalable data pipelines for machine learning, developing feature generation systems and feature stores, architecting model serving infrastructure, and collaborating with data scientists and other engineering teams to implement and improve ML capabilities. They will also ensure data quality, consistency, and accessibility, and contribute to the overall platform strategy for risk management.
Cross-border payment solutions for businesses
Airwallex provides cross-border payment solutions for businesses of all sizes, including small to medium-sized enterprises and large corporations. The company offers a range of financial services such as multi-currency accounts, international money transfers, foreign exchange services, and payment gateway solutions. These services are designed to facilitate efficient and cost-effective international transactions. Airwallex uses advanced technology to ensure that these transactions are fast and secure. Unlike many competitors, Airwallex focuses on building financial infrastructure that supports the digital economy, allowing businesses to operate seamlessly across borders. The company's goal is to simplify global payments and make them accessible to businesses worldwide.