Software Developer

CLPS TECHNOLOGY (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech company in Singapore is seeking a Machine Learning Engineer to join their Consumer Machine Learning team. In this role, you will design and maintain cutting-edge recommendation systems, working with advanced AI stacks and cloud solutions. Applicants should have a degree in a quantitative field and at least five years of relevant experience, with strong skills in Java, Spring, and cloud technologies. This is a unique opportunity to impact the personalized experience of millions of consumers.

Qualifications

• Bachelor's / Master’s degree or equivalent experience in a quantitative field.
• At least 5 years’ experience in machine learning and AI.
• Proficiency in Java and Spring required.

Responsibilities

• Design and maintain recommendation infrastructure.
• Develop and optimize AI solutions and cloud integrations.
• Collaborate with data science teams for efficient deployment and monitoring.

Skills

Java

Spring

Cloud Solutions

Docker

Kubernetes

Education

Bachelor's / Master’s degree in a quantitative field

Tools

Git

Jenkins

Job description

Job Description Summary:

Join and build the next generation of AI Personalization platform in the Consumer Machine Learning team. Take our AI Stack to the next level and create the future of the Search stack on the App! As a Machine Learning Engineer in the team, you will be responsible for designing, developing, and maintaining our recommendation infrastructure on Stacks and deploying solutions that impact hundreds of millions of consumers' personalized experiences.

Get involved in the AI solutions stack to bring cutting-edge cloud solutions into existing stacks, such as AutoML, custom training, BQML, real-time inferencing, feature stores, GenAI, etc. You will work closely with our data science team to ensure that our models are deployed, monitored, and scaled efficiently.

Backend + DevOps Project Description:

Optimization project for a financial payment platform's consumption scenario recommendation system, aiming to enhance personalized recommendation experiences. The project involved upgrading recommendation algorithm services, rebuilding data pipelines, and integrating with upstream and downstream systems.

Requirements:

• Bachelor's / Master’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.)
• At least 5 years’ experience, with proficiency in Java and Spring
• Good knowledge and experience with cloud providers such as GCP, AWS, Azure, Huawei, Alibaba to build enterprise-level solutions
• Experience with containerization technologies such as Docker and Kubernetes. Familiarity with DevOps best practices and tools such as Git, Jenkins