Senior AI Software engineer

Sanmina; Bayan Lepas; On-site; MYR 150,000 - 270,000; Full time

Job summary

Sanmina in Bayan Lepas, Penang, seeks a Senior AI Software Engineer focused on AI and R&D to design and implement advanced AI solutions bridging research and production.

Lead development of intelligent systems, define scalable model architectures, and support integration of ML capabilities into core products while mentoring engineers and enforcing robust data privacy practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• 4+ years of advanced AWS experience, including SageMaker, EC2, S3, and Lambda for scalable AI workloads.
• Deep experience with machine learning frameworks and LLM orchestration tools.
• Experience with Docker and Kubernetes (EKS) for orchestrating AI microservices.
• Experience using Terraform or Ansible to manage reproducible research environments.
• Proficient coding/scripting in Python; strong HPC experience and data-centric IT operations.
• Excellent communication skills to translate AI concepts for stakeholders.

Responsibilities

• AI Solution Development: build intelligent AI solutions for manufacturing and business problems.
• R&D Innovation: prototype new AI technologies and stay ahead of industry trends.
• Infrastructure for AI: optimize GPU-accelerated environments for training and deployment.
• Testing & Model Validation: validate data and model performance; address bias or accuracy issues.
• CI/CD for ML: implement MLOps pipelines for training, versioning, and deployment.
• Tooling & Standards: define AI frameworks and tools for the development lifecycle.
• Data Security & Ethics: ensure data privacy and ethical AI practices.
• Technical Mentorship: train engineers on AI features and model interpretability.

Skills

AI/ML

AWS SageMaker

Python

Docker

Kubernetes (EKS)

Terraform/Ansible

LLM Orchestration

MLOps CI/CD

HPC

Data Security

Communication

Education

Bachelor's or Master's in CS/Data Science/AI

Tools

SageMaker

EC2

S3

Lambda

Docker

Kubernetes (EKS)

Terraform

Ansible

Job description

We are looking for an experienced and enthusiastic Senior Software Engineer with a specialized focus on Artificial Intelligence and Research & Development (R&D). As our new Senior AI Software Engineer, you will be responsible for designing and implementing advanced AI solutions within our organization, bridging the gap between theoretical research and production-ready software. You will lead the development of intelligent systems, define the architecture for scalable AI models, and support the broader engineering team in integrating machine learning capabilities into our core products.

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.