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AI Engineer

AI Engineer

RHB Banking GroupKlang, Selangor, Malaysia
15 jam yang lalu
Penerangan pekerjaan
  • 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. Peer Relationship Position Titles / Parties Nature of Interactions 3
  • 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. 10. 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.

    • Preferred Skills

    • 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 Sage Maker.
    • Strong problem-solving skills, with a focus on optimizing AI model performance and scalability.

      • Other Skills Required

    • 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.
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    Ai Engineer • Klang, Selangor, Malaysia