AI Engineer (AWS SAA Certified)

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

About the role

Pepper Labs is seeking an AI Engineer (AWS SAA Certified) to join our innovative team in Kuala Lumpur. This is a full-time position where you will play a crucial role in developing, deploying, and optimising artificial intelligence solutions on Amazon Web Services (AWS) infrastructure. As an AI Engineer, you will bridge the gap between cutting-edge machine learning research and production-ready systems, leveraging your AWS expertise to architect scalable, secure, and cost-effective AI applications. Your contribution will be fundamental to delivering intelligent solutions that drive business value and competitive advantage for our clients and organisation.

Key responsibilities

• Design and develop AI and machine learning models using Python, TensorFlow, PyTorch, and other industry-standard frameworks
• Deploy machine learning models to AWS services including SageMaker, Lambda, and EC2, ensuring optimal performance and scalability
• Architect AWS cloud solutions for AI workloads, leveraging services such as AWS SageMaker, AWS Rekognition, AWS Textract, and AWS Forecast
• Develop data pipelines and ETL processes to prepare and process large datasets for model training and inference
• Optimise AI models for cost-efficiency and performance on AWS infrastructure, implementing best practices for security and compliance
• Conduct model experimentation and evaluation, tracking metrics and results to inform continuous improvement
• Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to translate requirements into technical solutions
• Document code, architecture decisions, and deployment procedures to ensure knowledge sharing and maintainability
• Monitor and troubleshoot deployed AI systems, implementing improvements based on performance metrics and user feedback
• Stay current with emerging AI/ML technologies and AWS service updates, incorporating relevant innovations into our solutions

What we're looking for

• AWS Solutions Architect Associate (SAA) certification or equivalent AWS certification demonstrating cloud architecture knowledge
• Strong programming skills in Python with experience in software development best practices and design patterns
• Hands-on experience building, training, and deploying machine learning models in production environments
• Proficiency with AWS services, particularly SageMaker, Lambda, S3, EC2, RDS, and other relevant AI/ML services
• Understanding of data structures, algorithms, and software engineering principles
• Experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or similar tools
• Knowledge of containerisation technologies such as Docker and orchestration platforms like Kubernetes
• Familiarity with version control systems, particularly Git, and CI/CD pipelines
• Strong problem-solving abilities and attention to detail
• Excellent communication skills with the ability to explain complex technical concepts clearly
• Preferred: Experience with deep learning, computer vision, natural language processing, or reinforcement learning
• Preferred: Previous experience in deploying AI models to production environments and managing ML lifecycle
• Preferred: Knowledge of MLOps practices and tools for model monitoring and management
• Preferred: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

About us

Pepper Labs is a forward-thinking technology company specialising in artificial intelligence and cloud solutions. We are committed to leveraging cutting-edge AI and AWS technologies to solve complex business challenges and create innovative products that make a meaningful impact. Our team comprises talented engineers, data scientists, and architects who are passionate about pushing the boundaries of what's possible with AI and cloud computing. We foster a collaborative, learning-oriented culture where innovation is encouraged, and professional growth is prioritised. At Pepper Labs, we believe in building solutions that are not only technically excellent but also deliver tangible value to our clients and communities.

What we offer

• Competitive salary package commensurate with experience and qualifications
• Opportunities for professional development and training in AI, machine learning, and AWS technologies
• Collaborative and inclusive work environment that values innovation and creativity
• Full-time position with comprehensive benefits including health insurance and wellness programmes
• Flexible working arrangements where possible to support work-life balance
• Exposure to diverse, high-impact projects and technologies
• Mentorship and coaching from experienced AI and cloud professionals
• Career progression opportunities within a growing technology company