jobs in Skill Quotient Technologies Inc

全职 AI Engineer 工作, 薪水 up to MYR 8,000, Skill Quotient Technologies Inc Federal Territory 公司招聘中 - Ricebowl

AI Engineer

Skill Quotient Technologies Inc

MYR5,000 - MYR8,000 每月

KL City, Federal Territory

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工作地点

  • Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

Role : AI Engineer / Generative AI Engineer

Location : KL

Duration: Permanent
Work Mode: WFO

Develop and optimize AI models and infrastructure to deliver cutting-edge AI applications, intelligent systems, and chatbot solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), machine learning, and scalable AI deployment.

Key Responsibilities

  • Develop AI models leveraging the latest advancements in Large Language Models (LLMs) and ensure seamless integration with application frameworks.
  • Optimize existing AI systems and models to improve performance, efficiency, scalability, and accuracy.
  • Collaborate with data engineers and solution architects to implement effective data strategies for model training, evaluation, and deployment.
  • Stay up to date with emerging AI research, technologies, and industry trends through conferences, workshops, and continuous learning.
  • Conduct rigorous testing, validation, and performance evaluation of AI models to ensure quality and reliability.
  • Write clean, maintainable, and well-documented code for AI systems and applications.
  • Participate in peer code reviews and contribute to team knowledge sharing by promoting coding standards and best practices.
  • Support the deployment, monitoring, and maintenance of AI solutions in production environments.

Required Skills & ExperienceTechnical Skills

  • Strong expertise in Artificial Intelligence, Machine Learning, and Deep Learning.
  • Hands-on experience in building, fine-tuning, deploying, and optimizing Large Language Models (LLMs) and Transformer-based architectures.
  • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, embeddings, and tokenization techniques.
  • Solid understanding of:
  • In-context learning
  • Fine-tuning methodologies
  • Zero-shot and few-shot learning
  • Prompt engineering and optimization
  • Proficiency in Python and experience with machine learning frameworks such as:
  • TensorFlow
  • PyTorch
  • Hugging Face Transformers
  • Experience working with cloud platforms including:
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • Knowledge of scalable and secure AI deployment in both cloud and on-premises environments.

Pay: RM5,000.00 - RM8,000.00 per month

Application Question(s):

  • What is your current salary?
  • What is your notice period?

Experience:

  • Agentic AI : 1 year (Preferred)
  • AI Engineering: 2 years (Required)
  • LLM: 2 years (Required)
  • RAG: 2 years (Required)
  • VectorDB: 1 year (Preferred)

Work Location: In person

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