Senior AI Engineer

R Systems; Kuala Lumpur; Vor Ort; MYR 180.000 - 300.000; Vollzeit

Zusammenfassung

R Systems is seeking a hands-on Senior AI Engineer to design, build, and operate production AI solutions on an AWS-native platform in Kuala Lumpur, Malaysia. The role focuses on generative AI, LLMs, RAG, and intelligent document processing with robust MLOps capabilities.

You will mentor engineers, own technical architecture, and ensure governance and security across AI pipelines while collaborating with stakeholders to deliver scalable AI solutions.

Qualifikationen

• Strong Python and machine-learning experience.
• Hands-on AWS AI/ML development and deployment.
• Experience operationalising custom ML models end to end.
• Strong Terraform, Docker and CI/CD capabilities.
• Experience owning technical architecture and mentoring engineers.
• Strong stakeholder and cross-functional collaboration skills.

Aufgaben

• Generative AI, LLMs, RAG and intelligent document processing.
• Custom ML models, computer vision and model evaluation.
• AWS SageMaker, Bedrock, Lambda and serverless AI pipelines.
• Terraform, MLOps, CI/CD and production monitoring.
• Solution architecture, code reviews and technical mentoring.
• Responsible AI, security and AI-governance practices.

Kenntnisse

Python

Machine learning

AWS AI/ML development

End-to-end ML deployment

Mentoring engineers

Stakeholder collaboration

Tools

AWS

Terraform

Docker

CI/CD

Jobbeschreibung

We are looking for a hands-on Senior AI Engineer to design, build and operate production AI solutions on an AWS-native platform.

What you’ll work on:

• Generative AI, LLMs, RAG and intelligent document processing
• Custom ML models, computer vision and model evaluation
• AWS SageMaker, Bedrock, Lambda and serverless AI pipelines
• Terraform, MLOps, CI/CD and production monitoring
• Solution architecture, code reviews and technical mentoring
• Responsible AI, security and AI-governance practices

What we’re looking for:

• Strong Python and machine-learning experience
• Hands-on AWS AI/ML development and deployment
• Experience operationalising custom ML models end to end
• Strong Terraform, Docker and CI/CD capabilities
• Experience owning technical architecture and mentoring engineers
• Strong stakeholder and cross-functional collaboration skills

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