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AI Engineer

AI Engineer

RHB BankKuala Lumpur, Kuala Lumpur, Malaysia
5 jam yang lalu
Penerangan pekerjaan

Responsibilities

  • Collaborate with product owners and domain experts to understand business requirements and tailor AI solutions accordingly.
  • Work closely with Data Scientists / Cloud Platform teams to deploy models seamlessly into production environments.
  • Optimize AI systems and models to ensure high levels of accuracy and reliability.
  • Engineer system prompts and integrate API calls to generative AI services (Azure OpenAI, AWS Bedrock) to deliver sophisticated AI-driven solutions.
  • Design and develop advanced GenAI models and algorithms to solve complex business problems within the financial sector.
  • Train, fine-tune, and validate AI models to ensure high levels of accuracy and reliability.
  • Optimize machine learning models and ensure they integrate effectively with existing systems.
  • Develop end-to-end GenAI project lifecycle, including data preprocessing, model training, deployment, and continuous improvement.
  • Perform hyperparameter tuning, algorithm selection, and feature engineering to optimize model performance. Troubleshoot and resolve issues related to AI models and implementations.
  • Ensure compliance with financial services industry (FSI) standards, ethical AI practices, and implement AI governance and AI security safeguards.
  • Create and maintain documentation for AI models and their applications.
  • Research and stay up-to-date on the latest advancements in AI technologies and methodologies.

Qualifications

  • Minimum Bachelor\'s degree in AI, Data Science, Computer Science, or a related field.
  • Minimum of 2-3 years of hands-on experience in AI and machine learning development.
  • Strong proficiency in programming languages like Python and experience with AI frameworks.
  • In-depth understanding of AI models, machine learning, natural language processing (NLP), deep learning architectures, and statistical models.
  • Solid knowledge of cloud platforms (AWS, Azure) and experience deploying AI models in production environments.
  • Experience in architecting and implementing large-scale AI solutions aligned with business goals.
  • Expertise in data preprocessing, feature engineering, model training, and hyperparameter tuning.
  • Experience in training, testing, and prompt engineering technique.
  • Experience with containerization and orchestration technologies such as Docker or Kubernetes, particularly for AI model deployment.
  • Hands-on experience with cloud-based studio tools like Azure Machine Learning, Azure AI Studio, AWS SageMaker.
  • Strong problem-solving skills, with a focus on optimizing AI model performance and scalability.

    • Other Skills

  • A background of working with development and DevOps / DevSecOps best practices.
  • Work iteratively in a team (Agile ways of working) with continuous collaboration.
  • Self-motivated and strong communication.
  • Ability to lead and influence team members.
  • Problem management and analytical thinking.

    • Benefits / Career Growth

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    Ai Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia