Senior Data and AI Solution Engineer

Great Eastern

Singapore

In loco

SGD 120.000 - 180.000

Tempo pieno

40 ore fa
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Descrizione del lavoro

Great Eastern is seeking a Data and AI professional to implement and deliver advanced GenAI solutions across the organization. You will design, develop, and deploy generative AI models on AWS, build scalable data pipelines, and integrate AI into production environments.

Collaboration with data scientists, engineers, and business teams is essential to align technical and operational goals. You will drive governance, data quality, and privacy compliance while leveraging cloud platforms and modern

Competenze

  • 3–5 years of hands‑on experience in designing, developing, and deploying ML/AI solutions.
  • 1–2 years focused on generative AI (LLMs, GANs, diffusion models).
  • Experience in full‑stack or backend development building AI‑powered applications.

Mansioni

  • Implement and deliver advanced data and AI solutions driving innovation and efficiency.
  • Translate business needs into technical specs and architect GenAI solutions.
  • Develop and deploy GenAI models on AWS and other cloud platforms.
  • Deploy scalable production solutions with robustness and reliability.
  • Collaborate with data scientists, software engineers, and business teams to integrate AI into workflows.
  • Design and maintain data pipelines for preprocessing and augmentation of datasets.
  • Develop APIs and microservices for real‑time AI functionality.
  • End‑to‑end GenAI app development including frontend and backend integration.
  • Ensure data quality, governance, and privacy compliance.
  • Foster DevOps/MLOps practices including CI/CD and containerization.

Conoscenze

GenAI engineering
Full‑stack development
Cloud platforms
CI/CD

Strumenti

AWS
Azure
GCP
Docker
Kubernetes
Terraform
MLflow
SageMaker

Descrizione del lavoro

Data and AI
  • 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
  • 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
  • Champion and embody our Core Values in everyday tasks and interactions.
  • Demonstrate high level of integrity and accountability.
  • Take initiative to drive improvements and embrace change.
  • Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
  • Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.
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.

Work Locations

SG-GE Centre

Job

Data and AI

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