Senior Generative AI Engineer — Python, LLMs & Production

hlb; Malaysia; On-site; MYR 180,000 - 360,000; Full time

Job summary

Hong Leong Bank in Malaysia is seeking an experienced AI/ML Engineer specializing in Generative AI to design, develop, and deploy scalable ML solutions across NLP, vision, and recommender domains. The role requires strong Python expertise, hands-on with frameworks like TensorFlow, PyTorch, and Hugging Face; experience with LLMs, deployment in cloud environments, MLOps, and responsible AI practices.

Collaborate with data engineers to build data pipelines, ensure model quality, and mentor junior

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, AI/ML, or related field.
• 5-6 years of hands-on experience in AI/ML solution development.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Hugging Face, scikit-learn.
• Strong background in deep learning, NLP, and generative model development (GPT, LLaMA, Stable Diffusion).
• Experience with cloud platforms (AWS, GCP, or Azure) and ML deployment tools (Docker, Kubernetes, MLflow).
• Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering techniques.
• Knowledge of MLOps best practices: CI/CD for ML, monitoring, and model lifecycle management.
• Strong problem-solving skills, ability to translate business requirements into scalable AI solutions.

Responsibilities

• Design, build, and optimize ML/AI models for production use cases across NLP, computer vision, or recommendation systems.
• Develop and fine-tune Generative AI models (LLMs, diffusion models, transformers) for tasks such as text generation, summarization, conversation, or multimodal solutions.
• Collaborate with data engineering teams to collect, preprocess, and manage large datasets for training and evaluation.
• Deploy AI/ML pipelines and integrate models into business applications using APIs, microservices, or cloud-native solutions.
• Research and evaluate emerging AI/ML frameworks, libraries, and model architectures to improve efficiency and accuracy.
• Ensure model fairness, interpretability, and compliance with ethical AI practices.
• Document workflows, conduct code reviews, and mentor junior engineers in AI/ML best practices.

Skills

Python

TensorFlow

PyTorch

Hugging Face

scikit-learn

NLP

LLMs

Diffusion models

Transformers

AWDS/Cloud

Kubernetes

MLflow

RAG

Prompt engineering

MLOps

Education

Bachelor's or Master's in Computer Science, Data Science, AI/ML

Tools

Docker

Job description

Hong Leong Bank in Malaysia is seeking an experienced AI/ML Engineer specializing in Generative AI to design, develop, and deploy scalable ML solutions across NLP, vision, and recommender domains. The role requires strong Python expertise, hands-on with frameworks like TensorFlow, PyTorch, and Hugging Face; experience with LLMs, deployment in cloud environments, MLOps, and responsible AI practices.

Collaborate with data engineers to build data pipelines, ensure model quality, and mentor junior