Gen AI Engineer

Gen AI Engineer Job Description Grade Sr. Executive Years of Work Experience 5-8 Job Brief 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.