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About the Job
Implement and deliver advanced data and AI solutions that drive innovation, optimize decision-making, and enhance operational efficiency-contributing directly to the organization's strategic growth and technological leadership.
Requirement Analysis & Solution Design: Collaborate with stakeholders to understand business needs, translate requirements into technical specifications, and architect tailored GenAI solutions (e.g., chatbots, content generators) that align with project goals.
Development & Deployment of GenAI Models: Develop and deploy generative AI models (e.g., LLMs, GANs) on AWS. Deploy scalable solutions into production environments, ensuring robustness and reliability.
Cross-functional Collaboration: Partner with data scientists, software engineers, and business teams to integrate AI capabilities into workflows, ensuring alignment with technical and operational objectives.
Data Pipeline Management: Design and maintain efficient data pipelines for preprocessing, cleaning, and augmenting datasets. Ensure data quality, governance, and compliance with privacy regulations
System Integration & API Development: Seamlessly integrate GenAI solutions into existing client infrastructure (e.g., cloud platforms, enterprise systems). Develop APIs and microservices to enable real-time AI functionality.
End-to-End GenAI Application Development: Design, develop, and deploy user-facing applications powered by GenAI, including frontend interfaces (e.g., React) and backend services. Integrate AI models into applications to deliver seamless
We are looking for people who
AI/ML Engineering: 3-5 years of hands-on experience in designing, developing, and deploying machine learning/AI solutions, with 1-2 years focused on generative AI (e.g., LLMs, GANs, diffusion models).
Application Development: Proven track record in full-stack or backend development, including building and deploying AI-powered applications (e.g., chatbots, content automation tools).
Cloud Platforms: Experience with cloud services (AWS, Azure, GCP) for AI/ML workflows (e.g., SageMaker, Vertex AI, Azure ML) and infrastructure-as-code (Terraform, CloudFormation).
Data Engineering: Expertise in building scalable data pipelines (ETL/ELT) using tools like Apache Spark, Airflow, or Databricks.
DevOps/MLOps: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and model monitoring tools (MLflow).
How you succeed
Who we are
Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels - a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei. The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of AA- by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia. Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world's most highly-rated banks, with an Aa1 rating from Moody's and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World's Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.
To All Recruitment Agencies Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.
Job ID: 139644805