AI Engineer

NTUC ENTERPRISE NEXUS CO-OPERATIVE LIMITED; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading cooperative firm in Singapore is hiring an AI engineer to join their data science team. The role involves building, deploying, and maintaining machine learning systems while collaborating with data scientists to solve business challenges. Applicants should have a solid educational background in computing and at least five years of relevant experience, with a focus on cloud platforms and machine learning applications. Strong communication skills and teamwork are essential for success in this position.

Qualifications

• At least 5 years of working experience in AI engineering.
• Experience with various machine learning frameworks.
• Demonstrable end-to-end understanding of AI applications.

Responsibilities

• Build, deploy, maintain, retrain, and optimize machine learning systems.
• Design ML workflow and deployment strategy with stakeholders.
• Monitor and identify technical risks of ML applications.

Skills

Machine learning techniques

Cloud computing platforms (AWS, GCP, Azure)

REST/Web API development

Production-level code',

Education

Bachelor/master in computing or related discipline

Tools

Cloud SQL

Big Query

Redis

Job description

We are hiring for an AI engineer to join our data science team in the Center of Excellence.

Responsibilities

• Generally building, deploying, maintaining, retraining, and optimizing machine learning systems
• Work with data scientists and domain experts to design the ML workflow, deployment strategy, and productionalise machine learning application/service (batch/real-time) to solve business challenges.
• Run machine learning UAT, Testing, and experiments, perform basic statistical analyses and refine the test results, and report findings
• Proactively monitor and identify the technical risk of the ML application/service and influence the relevant stakeholders in their resolutions
• Establish, apply and maintain best practices and principles of machine learning engineering including but not limited to MLOp
• Architect, develop and deploy GenAI/Agentic AI applications and also cover the related LLMOp/MLOp/AgentOp.

Requirements

• Bachelor/master in computing or any related discipline with at least 5 years of working experience
• Experience in cloud computing platforms such as AWS, GCP, and Azure.
• Experience working with machine learning techniques, frameworks, and applications.
• REST/Web API development and management focusing on AI serving.
• Experience in writing production-level code and familiarity with MLOp/AIOp procedures.
• Experience with relational databases and non-relational databases e.g Cloud SQL, big query and Redis, etc.
• Demonstrate end-to-end understanding of AI/GenAI applications (including, but not limited to, the machine learning algorithms) being created.
• Self-motivated, proactive, and passionate about new AI technologies and solving challenging problems
• Good communication skills and strong team player