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IT Engineer

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Onsite

IT Engineer

TF AMD MICROELECTRONICS (PENANG) SDN. BHD.

IT Engineer

Skills

SQL QueriesDeep LearningMobile DevelopmentDockerPythonData ScienceJavaFlutterC#PyTorchTensorFlowMachine LearningAIDartJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

George Town, Penang, Malaysia

Work mode:

Onsite

Published on:

26 August 2026

What they need


Job Summary

We are seeking a motivated IT Engineer to design, develop, deploy, and support AI solutions for the organization. The role involves AI/ML, Generative AI, LLMs, RAG, AI agents, system integration, and AI infrastructure.

Key Responsibilities

  • Develop and implement AI-powered applications, chatbots, AI agents, and automation solutions.
  • Build and integrate Generative AI, LLM, RAG, and machine learning solutions.
  • Integrate AI systems with enterprise applications, databases, APIs, and knowledge bases.
  • Prepare and manage structured and unstructured data for AI applications.
  • Deploy and support AI solutions in on-premises, cloud, or hybrid environments.
  • Monitor, evaluate, and improve AI model performance, reliability, scalability, and cost efficiency.
  • Support AI security, access control, data governance, and responsible AI practices.
  • Research new AI technologies and develop Proof of Concepts (POCs).
  • Collaborate with IT and business teams to identify and deliver practical AI use cases.
  • Document AI architectures, technical designs, and implementation processes.

Technical Requirements

  • Knowledge of Python, C#, Java, JavaScript, or similar programming languages.
  • Understanding of AI, Machine Learning, Deep Learning, and Generative AI.
  • Familiarity with LLMs, prompt engineering, embeddings, vector databases, and RAG.
  • Knowledge of SQL, databases, REST APIs, and system integration.
  • Familiarity with AI frameworks such as PyTorch, TensorFlow, or Scikit-learn is an advantage.
  • Experience or knowledge in mobile application development using Dart and Flutter is an added advantage.
  • Exposure to Docker, cloud platforms, CI/CD, MLOps/LLMOps, or GPU-based AI infrastructure is an advantage.

Education & Experience

  • Bachelor's Degree in Artificial Intelligence, Computer Science, Software Engineering, Information Technology, Data Science, or a related field.
  • Preferably 1–3 years of relevant experience.
  • Fresh graduates with strong programming, AI knowledge, or relevant projects are encouraged to apply.

Personal Attributes

  1. Fast learner with strong interest in AI and emerging technologies.
  2. Strong analytical and problem-solving skills.
  3. Able to work independently and collaboratively.
  4. Good communication and interpersonal skills.
  5. Results-oriented, adaptable, and willing to continuously learn.
  6. Able to translate business requirements into practical technical solutions.

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