AI Implementation Engineer — Deploy & Operate Global AI

Lenovo Group Limited; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Lenovo Group Limited seeks an AI operations professional to support AgenticOps by implementing, testing, deploying, and launching AI agents and capabilities, including overseas applications. The role emphasizes Python, ML/LLMs, and DevOps practices to ensure successful delivery and on-site support where required.

The ideal candidate has a Bachelor's in CS, about three years of AI experience, strong English, and the ability to work under pressure while collaborating with global teams.

Qualifications

• Bachelor's degree or above in computer science or a related field.
• Around three years of work experience in the AI field.
• Familiar with classical machine learning and deep learning algorithms, and able to proficiently apply AI algorithms to solve operations issues.
• Familiar with AI-related technologies such as large language models, agents, and knowledge graphs.
• Proficient in data analysis languages and tools such as Python, Java, and SQL.
• Fluent English listening, speaking, reading, and writing skills.

Responsibilities

• Use Python skillsets, large language models, and other AI foundations to implement, test, deploy, and launch agents or AI capabilities related to AgenticOps.
• Perform operations work for AIO overseas AI applications, including code deployment, upgrades, and issue fixes.
• Follow DevOps standards to track and handle development work in Jira.
• Support service promotion activities.
• Provide on-demand service support.
• Travel as needed to support on-site interaction and delivery for business projects.

Skills

Python

Large language models

AI foundations

DevOps

Data analysis

Education

Bachelor's degree in computer science

Tools

Jira

Job description

Lenovo Group Limited seeks an AI operations professional to support AgenticOps by implementing, testing, deploying, and launching AI agents and capabilities, including overseas applications. The role emphasizes Python, ML/LLMs, and DevOps practices to ensure successful delivery and on-site support where required.

The ideal candidate has a Bachelor's in CS, about three years of AI experience, strong English, and the ability to work under pressure while collaborating with global teams.