Penang, MY Software Engineer (Systems) 3

Requisition ID: 109355-0

Nature of Duties

• AI Solution Development: Responsible for providing intelligent solutions to manufacturing and business problems using machine learning, deep learning, and generative AI methodologies.

• R&D Innovation: Analyze and prototype new AI technologies and frameworks to solve complex challenges, staying at the forefront of industry trends.

• Infrastructure for AI: Manage and optimize the specialized IT infrastructure and GPU-accelerated environments needed to train and deploy large-scale AI models.

• Testing & Model Validation: Develop and perform rigorous tests on AI applications, including data validation, model performance benchmarking, and troubleshooting bias or accuracy issues.

• CI/CD for Machine Learning (MLOps): Implement and support "MLOps" pipelines to automate the training, versioning, and deployment of models (Continuous Integration and Continuous Delivery).

• Tooling & Standards: Define the best AI frameworks and development tools to be used across the software lifecycle.

• Data Security & Ethics: Ensure the integrity, security, and confidentiality of sensitive datasets by applying robust data privacy patterns and ethical AI methods.

• Technical Mentorship: Train and provide technical support to users and junior engineers regarding AI features, model interpretability, and newly developed manuals.

Education and Experience

• Bachelor’s or Master’s Degree in Computer Science, Data Science, AI, or a related field.

• Advanced experience (4+ years) with AWS is required, specifically using services like SageMaker, EC2 instances, S3, and Lambda to scale AI workloads.

• Deep experience with Machine Learning frameworks and LLM orchestration tools.

• Experience with Docker and Kubernetes (specifically EKS) for orchestrating containerized AI microservices.

• Experience using Terraform or Ansible to manage reproducible research environments.

• Expert ability to code and script (Python for exemple).

• Experience with high-performance computing (HPC) systems and optimizing IT operations for data-heavy applications.

• Excellent communication skills, with the ability to translate complex AI concepts into actionable insights for stakeholders.