Senior GenAI Solutions Engineer (AWS, MLOps)

Great Eastern

Singapore

In loco

SGD 120.000 - 180.000

Tempo pieno

40 ore fa
Candidati tra i primi

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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

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

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