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AI Engineer

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Hybrid

AI Engineer

APEXNOVA GROUP SDN BHD

AI Engineer

Skills

Deep LearningPythonData SciencePyTorchTensorFlowMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

MYR 84,000 – MYR 120,000 / year

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Hybrid

Published on:

10 August 2026

What they need


职位简介

负责开发、优化及部署AI模型,包括模型训练、微调、数据处理及性能优化。您将与跨部门团队合作,打造高效、可扩展的AI解决方案,并持续提升模型表现与业务价值。

岗位职责

· 开发、训练及优化AI / Machine Learning模型

· 处理、清洗及管理大型数据集

· 调试AI模型并优化模型性能

· 监控模型表现并持续改善准确率及效率

· 与产品、软件及数据团队合作开发AI解决方案

· 整理技术文件及开发流程

任职要求

· 3年以上AI / Machine Learning相关经验

· 熟练使用Python

· 熟悉TensorFlow、PyTorch、Scikit-learn、Hugging Face等AI框架

· 具备数据处理及模型训练经验

· 熟悉Machine Learning、Deep Learning及LLM相关技术

· 具备良好的分析能力、问题解决能力及团队合作精神

加分项

· 有RAG(Retrieval-Augmented Generation)开发经验

· 有AI模型部署及生产环境维护经验

· 熟悉Apache Spark或大型数据处理

· 硕士或以上学历(AI、Computer Science、Data Science等相关科系)

加入我们 | Why Join Us

· 参与AI产品研发及大型AI项目

· 接触最新AI技术(LLM、RAG、Machine Learning)

· 与经验丰富的AI及工程团队合作

· 提供良好的职业发展与学习机会

Job Summary

Develop, fine-tune, and optimize AI models with a focus on machine learning, dataset processing, and model performance. Work closely with cross-functional teams to build scalable AI solutions and deliver innovative products that create real business impact.

Key Responsibilities

· Develop, train, and optimize AI/Machine Learning models

· Process, clean, and manage large-scale datasets

· Debug AI models and improve model performance

· Monitor production models and optimize accuracy, scalability, and efficiency

· Collaborate with software engineers, data scientists, and product teams

· Document AI development processes and best practices

Requirements

· 3+ years of experience in AI/Machine Learning development

· Strong proficiency in Python

· Experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar AI frameworks

· Strong understanding of Machine Learning, Deep Learning, and AI model training

· Experience with dataset processing and model optimization

· Excellent analytical, problem-solving, and communication skills

Nice to Have

· Experience with RAG (Retrieval-Augmented Generation) systems

· Experience deploying AI models to production environments

· Knowledge of Apache Spark or large-scale data processing

· Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field

Why Join Us

· Work on cutting-edge AI and Machine Learning projects

· Gain hands-on experience with LLMs, RAG, and modern AI technologies

· Collaborate with an experienced AI and engineering team

· Excellent opportunities for career growth and continuous learning

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