Job Description
Are you passionate about shaping the future of intelligent automation? Chin Hin Group Berhad is seeking a visionary AI Engineer to join our dynamic team in Kuala Lumpur. In this pivotal role, you will design, deploy, and optimize cutting-edge AI agents and large language model (LLM) solutions that drive real business impact. You'll be at the forefront of integrating enterprise data sources, ensuring system reliability, and streamlining workflows to unlock scalable intelligence across our operations.
Our ideal candidate thrives on solving complex challengesāfrom building custom LLM pipelines to fine-tuning models for industry-specific tasks. You will collaborate with cross-functional teams to translate business needs into robust AI-powered tools, monitor performance, and continuously improve model accuracy. This is your chance to work with the latest AI frameworks, cloud platforms, and data engineering technologies while contributing to a forward-thinking organization.
If you are an innovative engineer with a deep understanding of machine learning, natural language processing, and system architecture, we want to hear from you. Join us to redefine what's possible with AI and help scale our digital transformation journey.
Responsibilities
- Design, develop, and deploy scalable AI agents and LLM-based solutions for enterprise use cases.
- Integrate diverse enterprise data sources (databases, APIs, documents) into AI pipelines for real-time inference.
- Ensure high reliability, availability, and performance of deployed AI systems through monitoring and proactive optimization.
- Collaborate with product and business teams to identify automation opportunities and translate requirements into technical specifications.
- Optimize model inference pipelines for cost, latency, and accuracy using techniques like quantization, pruning, or caching.
- Implement robust version control, CI/CD, and testing frameworks for AI model lifecycle management.
- Conduct research on emerging AI/LLM technologies and propose innovations to enhance our platform.
- Document system architectures, APIs, and operational procedures to facilitate knowledge sharing and support.
Qualifications
- Bachelorās or Masterās degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven experience (3+ years) building and deploying AI/ML solutions in production environments.
- Strong proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX).
- Hands-on experience with large language models (e.g., GPT, LLaMA, Claude) and prompt engineering.
- Solid understanding of retrieval-augmented generation (RAG), vector databases, and knowledge graphs.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Strong communication skills in English; proficiency in Mandarin or Malay is a plus.