AWS AI Engineer: SageMaker & Production ML

Pepper Labs; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Training opportunities

Flexible hours

Career growth

Job summary

Pepper Labs in Kuala Lumpur is seeking an AI Engineer (AWS SAA Certified) to design, deploy, and optimise AI solutions on AWS infrastructure. This full-time role bridges ML research and production systems, delivering scalable, cost-efficient AI applications that create business value.

You will build data pipelines, develop models with Python/TensorFlow/PyTorch, and collaborate with data scientists, software engineers, and stakeholders to translate requirements into robust solutions while

Qualifications

• Proficiency in Python and ML frameworks.
• AWS cloud experience for AI workloads.
• Production ML deployment and monitoring.
• Strong knowledge of data pipelines and ETL.

Responsibilities

• Design and develop AI/ML models using Python and frameworks.
• Deploy ML models to AWS (SageMaker, Lambda, EC2).
• Architect AWS cloud solutions for AI workloads.
• Develop data pipelines and ETL for large datasets.
• Optimise models for cost and performance on AWS.

Skills

Python programming

AWS SAA Certification

Production ML deployment

CI/CD

Strong problem-solving

Education

Bachelor's degree in CS/Engineering

Tools

SageMaker

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Job description

Pepper Labs in Kuala Lumpur is seeking an AI Engineer (AWS SAA Certified) to design, deploy, and optimise AI solutions on AWS infrastructure. This full-time role bridges ML research and production systems, delivering scalable, cost-efficient AI applications that create business value.

You will build data pipelines, develop models with Python/TensorFlow/PyTorch, and collaborate with data scientists, software engineers, and stakeholders to translate requirements into robust solutions while