Senior Go Engineer Wallet Platform

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Our client is looking for a skilled AI Platform Engineer to join their growing team in Kimberley. This role is critical for building, maintaining, and scaling the infrastructure that supports our AI and machine learning initiatives. You will work on developing robust data pipelines, managing ML workflows, and ensuring the reliability and efficiency of our AI development and deployment environments. This is an excellent opportunity to work with cutting-edge technologies and make a significant impact on how AI is developed and utilized within the organization, contributing to a collaborative and innovative technical culture.

About the Role

Our client is looking for a skilled AI Platform Engineer to join their growing team in Kimberley. This role is critical for building, maintaining, and scaling the infrastructure that supports our AI and machine learning initiatives. You will work on developing robust data pipelines, managing ML workflows, and ensuring the reliability and efficiency of our AI development and deployment environments. This is an excellent opportunity to work with cutting-edge technologies and make a significant impact on how AI is developed and utilized within the organization, contributing to a collaborative and innovative technical culture.

Key Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and optimize data pipelines for ingestion, processing, and storage of large datasets.
• Implement and manage ML workflow orchestration tools (e.g., Kubeflow, MLflow).
• Ensure the performance, reliability, and security of AI development and production environments.
• Collaborate with data scientists and ML engineers to support their operational needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in platform engineering, Dev Ops, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with infrastructure as code tools (Terraform, Ansible).
• Familiarity with data processing frameworks (Spark, Flink) and ML libraries.

Benefits

• Competitive salary and annual bonus structure.
• Opportunity to work with advanced AI infrastructure and technologies.
• Comprehensive health and wellness benefits package.
• Generous paid time off and vacation policy.
• Professional growth opportunities and training programs.

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.