AI Engineer

If you are looking to excel and make a difference, take a closer look at us…

We are seeking a highly skilled and motivated AI Engineer with a strong technical capability around AI development and engineering. In this role, you will be responsible for designing, developing, deploying, and maintaining scalable and robust AI and Machine Learning (ML) solutions that address key business challenges and create value for Hong Leong Bank. The AI Engineer will work closely with data scientists, business analysts, and other technology teams to

translate AI/ML models into production-ready applications and infrastructure.

Responsibilities:

AI/ML Model Development & Deployment:

• Design, develop, and implement scalable and efficient AI/ML pipelines and solutions using relevant programming languages (e.g., Python, Java), frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (e.g., AWS, Azure, GCP).

• Translate AI/ML models developed by data scientists into production-ready code and integrate them with existing systems and applications.

• Build and maintain robust data ingestion, processing, and feature engineering pipelines for AI/ML models.

• Develop and deploy AI/ML models using containerization technologies (e.g., Docker, Kubernetes) and CI/CD pipelines.

• Implement model monitoring, performance tracking, and retraining strategies to ensure the ongoing effectiveness of deployed AI/ML solutions.

Data Engineering & Preparation:

• Collaborate with data scientists and data engineers to understand data requirements and ensure data quality for AI/ML projects.

• Develop and implement data ingestion, cleaning, transformation, and feature engineering processes.

• Work with large datasets and distributed computing frameworks (e.g., Spark, Hadoop) as needed.

Infrastructure & Tooling:

• Assist in the setup and management of AI/ML development and deployment infrastructure, including cloud-based platforms (e.g., AWS, Azure, GCP) and on-premise resources.

• Evaluate and integrate new AI/ML tools, libraries, and platforms to enhance the team's capabilities.

• Implement and maintain CI/CD pipelines for AI/ML model deployment.

Collaboration & Communication:

• Work closely with data scientists to translate research prototypes into production-ready code.

• Collaborate with business analysts and domain experts to understand business needs and translate them into technical requirements.

• Communicate effectively with technical and non-technical stakeholders on the progress and outcomes of AI/ML projects.

• Participate in code reviews and contribute to the team's best practices for AI/ML development.

Research & Development:

• Stay up-to-date with the latest advancements in AI/ML technologies, tools, and methodologies.

• Explore and evaluate new AI/ML techniques and their potential application within the banking context.

• Contribute to the development of innovative AI solutions for the Bank.

Performance Monitoring & Optimization:

• Implement monitoring and logging mechanisms for deployed AI/ML models to track performance, identify issues, and ensure adherence to SLAs.

• Analyze model performance and identify areas for optimization and improvement.

Jobholder Qualifications:

Education/Qualification

Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field. A Master's degree is preferred.

Experience

• Minimum of 3-5 years of hands-on experience in developing and deploying AI/ML models in a production environment.

• Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks

• (e.g., TensorFlow, PyTorch, scikit-learn, Keras).  

• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).

• Familiarity with data engineering principles and tools, including data warehousing, ETL processes, and database technologies (SQL and NoSQL).

• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services is highly desirable.

• Understanding of CI/CD pipelines and DevOps practices for AI/ML deployment (MLOps).

• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration skills.  

• Experience in the financial services industry is an advantage.

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.

• Should you be shortlisted for the role, we will send you an invitation via email for an interview. You can also check on your application status by logging into your candidate account.

About Hong Leong Bank

We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China.

We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation.

Realise your full potential at Hong Leong Bank by applying now.