AI Platform Engineer

Fuku by Momofuku; Johor Bahru; On-site; MYR 180,000 - 240,000; Full time

Job summary

Fuku by Momofuku seeks an AI Platform Engineer to design, build, and maintain scalable AI infrastructure supporting ML initiatives. You will collaborate with data scientists, software engineers, and product teams to productionize AI solutions across cloud and on-prem environments.

The role requires 3+ years designing AI/ML platforms, strong programming skills (Python/Java/Scala), and experience with Docker, Kubernetes, and cloud providers.

Qualifications

• Bachelors or Masters in CS, Engineering, or related field.
• 3+ years designing and implementing AI/ML platforms or infra.
• Proficiency in Python, Java, or Scala.
• Experience with AWS, Azure, GCP and Docker/Kubernetes.
• Solid knowledge of ML libraries (TensorFlow, PyTorch, scikit-learn).
• Familiarity with Hadoop, Spark, or Kafka for big data processing.
• DevOps practices including CI/CD and infrastructure as code (Terraform, Ansible).
• Strong problem-solving and teamwork with clear communication.

Responsibilities

• Design, develop, and maintain scalable AI platforms and infrastructure for ML/data science.
• Collaborate with data scientists, software engineers, and product teams to productionize AI solutions.
• Optimize AI models for performance, scalability, and reliability in cloud/on-prem environments.
• Implement and manage CI/CD pipelines for AI/ML workflows and deployments.
• Monitor, troubleshoot, and improve AI systems and platforms.
• Ensure data security, compliance, and governance across AI projects.
• Stay updated on AI advancements and propose innovative platform enhancements.
• Document processes, workflows, and best practices for knowledge sharing.

Skills

Python

Java

Scala

CI/CD

Docker

Kubernetes

TensorFlow

PyTorch

Terraform

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Docker

Kubernetes

Hadoop

Spark

Kafka

Terraform

Ansible

Job description

Job responsibilities

• Design, develop, and maintain scalable AI platforms and infrastructure to support machine learning and data science initiatives.
• Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments.
• Optimize AI models for performance, scalability, and reliability in cloud and on-premise environments.
• Implement and manage CI/CD pipelines for AI/ML workflows to ensure seamless deployment and updates.
• Monitor, troubleshoot, and improve the performance of AI systems and platforms.
• Ensure data security, compliance, and governance standards are met across all AI-related projects.
• Stay updated on the latest advancements in AI technologies and recommend innovative solutions to enhance platform capabilities.
• Document processes, workflows, and best practices to support knowledge sharing and team collaboration.

Job requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in designing and implementing AI/ML platforms or infrastructure.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud platforms like AWS, Azure, or Google Cloud, and containerization tools like Docker and Kubernetes.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of DevOps practices, including CI/CD pipelines and infrastructure as code (e.g., Terraform, Ansible).
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.