AI Systems Engineer: Deploy & Optimize Multi-Agent AI

HCL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

HCL SINGAPORE PTE. LTD. is seeking a skilled Machine Learning Engineer to join an agile ML & AI team in Singapore.

You will design, build, and maintain scalable AI solutions in a DevOps environment, contributing across the full lifecycle from concept to deployment and collaborating with cross-functional teams. The role requires 3–6 years of ML/data science experience, strong Python, and expertise with TensorFlow or PyTorch.

Qualifications

• Bachelor’s degree in data science, CS, mathematics, statistics or related field.
• Strong Python programming skills with ML libraries.
• 3–6 years of ML/data science experience and LLMS experience.

Responsibilities

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate ML solutions into existing systems
• Participate in code reviews, testing, and debugging to ensure quality and reliability of ML solutions
• Excellent communication and collaboration skills with cross-functional teams and stakeholders at all levels of the organization

Skills

Python programming

ML libraries

LLMs

AI agents

DevOps

Education

Bachelor’s degree in data science, CS, mathematics, statistics

Tools

TensorFlow

PyTorch

Job description

HCL SINGAPORE PTE. LTD. is seeking a skilled Machine Learning Engineer to join an agile ML & AI team in Singapore.

You will design, build, and maintain scalable AI solutions in a DevOps environment, contributing across the full lifecycle from concept to deployment and collaborating with cross-functional teams. The role requires 3–6 years of ML/data science experience, strong Python, and expertise with TensorFlow or PyTorch.