Deskripsi Pekerjaan
Chin Hin Group Berhad is at the forefront of digital transformation, and we are seeking a visionary AI Engineer to join our dynamic technology team in Kuala Lumpur. In this pivotal role, you will be responsible for architecting, designing, and deploying sophisticated AI agents and Large Language Model (LLM) solutions that drive business efficiency.
You will work at the intersection of data engineering and machine learning, integrating vast amounts of enterprise data into intelligent workflows. The ideal candidate is passionate about building scalable, reliable AI systems that solve real-world industrial and operational challenges. If you are an expert in modern AI frameworks and thrive in a collaborative, fast-paced environment, we want to hear from you.
Tanggung Jawab
- Design and deploy scalable AI agents and LLM-powered applications tailored to enterprise business processes.
- Integrate heterogeneous enterprise data sources into unified, high-performing AI pipelines.
- Optimize and fine-tune machine learning models for reliability, accuracy, and low-latency performance.
- Collaborate with cross-functional teams to identify automation opportunities and workflow optimization.
- Monitor and maintain AI model performance in production, ensuring data security and regulatory compliance.
- Develop robust APIs and middleware to connect AI solutions with existing legacy systems.
- Conduct thorough testing and documentation to ensure high-quality software delivery.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven experience (2+ years) in building and deploying LLM solutions using frameworks like LangChain, LlamaIndex, or AutoGPT.
- Strong proficiency in Python and deep knowledge of machine learning libraries (PyTorch, TensorFlow, or Hugging Face).
- Hands-on experience with vector databases (Pinecone, Milvus, or Weaviate) and RAG (Retrieval-Augmented Generation) architectures.
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes.
- Excellent analytical, problem-solving, and communication skills to translate business needs into technical requirements.
- Ability to work independently and as part of an agile development team in a fast-paced environment.