Senior AI Software Engineering

Sanmina; Bayan Lepas; On-site; MYR 80,000 - 100,000; Full time

Job summary

A leading technology solutions provider in Bayan Lepas, Malaysia is looking for an experienced Senior Software Engineer with a strong background in Artificial Intelligence and R&D. This role involves developing intelligent systems, managing AI infrastructures, and ensuring data security while mentoring junior engineers. Ideal candidates will have over 4 years of AWS experience and strong programming skills in Python. The company offers an innovative environment where your AI expertise will bridge theoretical research with practical applications.

Qualifications

• 4+ years of advanced experience with AWS services for scaling AI workloads.
• Deep experience with machine learning frameworks and LLM orchestration tools.
• Expert ability to code and script, particularly with Python.
• Experience in managing reproducible research environments using Terraform or Ansible.
• Excellent communication skills to convey complex AI concepts.

Responsibilities

• Develop intelligent solutions for manufacturing and business problems using AI.
• Analyze and prototype new AI technologies to solve complex challenges.
• Manage specialized IT infrastructure and GPU environments for AI model training.
• Develop and perform rigorous testing on AI applications.
• Implement CI/CD pipelines for machine learning (MLOps).
• Define best AI frameworks and tools for software development.
• Ensure data security and ethical AI practices.
• Provide mentorship to users and junior engineers regarding AI applications.

Skills

Machine Learning

Deep Learning

Generative AI

AWS

Python

Docker

Kubernetes

Terraform

Ansible

High-Performance Computing

Education

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

Tools

AWS SageMaker

AWS EC2

AWS S3

AWS Lambda

Docker

Kubernetes (EKS)

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.