Senior AI Engineer

Job Description

Role Overview:

We are seeking a skilled and motivated AI Engineer with at least 7 years of professional experience to join the Outclass team. We are one of the leading platforms for online learning in Malaysia. The ideal candidate will have hands-on experience with database management, and cloud platforms, and a solid understanding of cloud architecture to design, deploy, and maintain scalable, secure, and cost-efficient cloud solutions.

Key Responsibilities:

• Database Management & Optimization

  • Work with SQL databases (e.g., MySQL, PostgreSQL, SQL Server) for cloud-based solutions.
  • Create, optimize, and manage complex queries to enhance performance.
  • Work with NoSQL databases (e.g., MongoDB, Firestore, DynamoDB) for scalable applications.
  • Ensure database security, backup strategies, and disaster recovery implementations.
  • Manage and optimize database indexing, partitioning, and query performance.

• Cloud Engineering & Infrastructure

  • Design, implement, and maintain cloud-based infrastructure solutions on platforms such as AWS, Azure, or Google Cloud.
  • Ensure high availability, scalability, and reliability of cloud environments.
  • Diagnose and resolve issues related to cloud infrastructure, networking, and application deployments.
  • Collaborate with development and operations teams to ensure seamless integration and functionality.
  • Develop and manage Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible.
  • Automate deployment pipelines using CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
  • Implement cloud-native and serverless solutions as needed.

• Data Engineering & Visualization

  • Utilize Looker Studio for advanced data visualization and reporting.
  • Provide regular updates and reports on system performance and incident resolution.
  • Monitor and optimize cloud performance and cost efficiency.
  • Work with Big Data solutions where applicable for AI/ML projects.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 7 years of hands-on experience with cloud platforms.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Strong understanding of networking concepts (DNS, VPNs, load balancers, firewalls).
• Familiarity with monitoring tools like Prometheus, Grafana, or CloudWatch.
• Solid knowledge of CI/CD practices and tools.
• Experience with SQL and data query optimization.

Preferred Skills:

• Experience with Looker Studio for creating dashboards and data reports.
• Certifications such as AWS Certified Solutions Architect or Google Cloud Professional Engineer.
• Exposure to Big Data or Machine Learning in the cloud.
• Experience in database management for cloud-based solutions (RDS, NoSQL, etc.)