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Posted on 2025/10/05

Generative AI Engineer

Maybank

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Full-time

Full Description

Our Vision

To transform Maybank into a AI Led Organization by enabling business & leadership with easier, faster, better exposure to AI powered capabilities with special augmentation of Gen AI technology.

Objective

Develop and optimize AI models and infrastructure to deliver cutting-edge AI applications and chatbots.

Key Responsibilities

• Develop AI models using the latest advancements in LLMs and ensure their seamless integration into application frameworks.

• Optimize existing AI systems and models for improved efficiency and accuracy.

• Collaborate closely with data engineers and architects to implement effective data strategies for model training and evaluation.

• Stay current with AI research by attending conferences and workshops, bringing innovative ideas back to the team.

• Conduct rigorous testing and validation of AI models to ensure they meet quality standards.

• Write clean, manageable code and maintain proper documentation for all implemented AI systems.

• Participate in peer code reviews and contribute to team knowledge by providing expertise on coding standards and best practices.

Requirements & Skills

• Deep technical expertise in AI and machine learning, particularly in building and deploying large language models and transformers.

• Experience with RAG pipelines, vector embedding, and tokenization techniques, crucial for developing sophisticated AI systems.

• Strong knowledge of in-context learning, fine-tuning, zero-shot learning, few-shot learning, and prompting techniques.

• Proficiency in programming languages like Python, and experience with ML frameworks such as TensorFlow, PyTorch, and libraries from Hugging Face.

• Experience with cloud services (AWS, Azure, Google Cloud) and on-premises deployments, focusing on scalability and security of AI deployments.

• Ability to work collaboratively in a fast-paced, team-oriented environment

Educational Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or related technical fields.

• Master's degree or advanced studies in fields like Machine Learning, Data Science, or Computational Linguistics is preferred.

• Certifications or demonstrable experience in specific AI technologies, such as TensorFlow or PyTorch, and familiarity with cloud services used for AI deployments.