jobs in AMK Technology Sdn Bhd

AMK Technology Hiring! Full Time AI-ML Engineer in Selangor - Ricebowl

Working Location

  • Kuala Selangor Selangor Malaysia

Job Description

Responsibilities

AI/ML Engineer

Location: Kuala Lumpur, Malaysia

Work Arrangement: Onsite

Contract: 1 Year

Experience: 2–3+ years

About the Role

We are looking for an AI/ML Engineer to join our team in Kuala Lumpur on a 1-year contractual basis. The ideal candidate will have hands-on experience developing and maintaining machine learning solutions, with exposure to Generative AI, LLMs, and RAG being an added advantage.

Key Responsibilities
  • Develop, implement, and maintain AI/ML models and applications.
  • Prepare, clean, and analyse data for machine learning projects.
  • Train, test, evaluate, and fine-tune models to improve performance.
  • Develop and integrate Generative AI, LLM, and RAG-based solutions.
  • Integrate AI/ML models with applications and REST APIs.
  • Collaborate with developers and stakeholders to deliver AI/ML solutions.
  • Support model deployment and assist with production troubleshooting and performance optimisation.
  • Maintain technical documentation and follow best practices for version control and development.
Requirements
  • 2–3+ years of experience in AI/ML Engineering, Machine Learning, Data Science, or a related field.
  • Strong programming skills in Python.
  • Hands-on experience with Scikit-learn, PyTorch, TensorFlow, or similar ML frameworks.
  • Good knowledge of SQL and data processing.
  • Experience working with APIs and integrating ML models into applications.
  • Familiarity with Git and software development practices.
  • Exposure to LLMs, Generative AI, and RAG solutions is an advantage.
  • Exposure to Cloud platforms and Docker is an advantage.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Able to work onsite in Kuala Lumpur.
What We Offer
  • 1-year contractual opportunity with a leading organisation.
  • Opportunity to work on AI/ML, GenAI, LLM, and RAG initiatives.
  • Hands-on exposure to real-world AI/ML applications and production environments.
  • Collaborative and technically driven working environment.

Interested candidates are encouraged to apply with their updated CV.

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