AI Engineer - Build & Deploy Production ML Pipelines & LLMs

PHOENIX SOLUTIONS (S) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PHOENIX SOLUTIONS (S) PTE. LTD. is seeking an experienced ML engineer to design, develop and deploy machine learning solutions and services in a production setting.

You will implement end-to-end ML pipelines from data ingestion to training and model serving, and operationalize LLMs and multi-agent systems. The role requires strong Python skills, hands-on experience with Docker and Kubernetes, and familiarity with ML tooling and CI/CD processes.

Qualifications

• Bachelor's or master's degree in data science, CS, math, stats or related field.
• Proficient in Python with clean, testable code.
• Experience with Docker for containerization and Kubernetes for orchestration.
• GPU/cloud compute awareness for ML workloads.
• Hands-on ML tooling: MLflow or equivalent.
• Experience with LLMs and AI agentic workflows.
• Familiar with CI/CD pipelines (GitLab, Jenkins).
• Strong math and statistics foundation.

Responsibilities

• Design, develop and deploy ML solutions and services.
• Implement end-to-end ML pipelines from data ingestion to training and model serving.
• Operationalize LLMs, embeddings, and multi-agent systems.

Skills

Python

Docker

Kubernetes

MLflow

LLMs

CI/CD

Data preprocessing

Model evaluation

DevOps

Problem solving

Education

Bachelor's or Master's degree in data science, Computer Science, Mathematics, Statistics, or a related field

Tools

Weights & Biases

Job description

PHOENIX SOLUTIONS (S) PTE. LTD. is seeking an experienced ML engineer to design, develop and deploy machine learning solutions and services in a production setting.

You will implement end-to-end ML pipelines from data ingestion to training and model serving, and operationalize LLMs and multi-agent systems. The role requires strong Python skills, hands-on experience with Docker and Kubernetes, and familiarity with ML tooling and CI/CD processes.