At a Glance
- Tasks: Design and manage scalable cloud infrastructure for AI/ML workloads.
- Company: Rapidly expanding AI company in Kimberley with a focus on innovation.
- Benefits: Competitive salary, health insurance, retirement plans, and professional development.
- Other info: Enjoy a hybrid work model with great career growth opportunities.
- Why this job: Join a cutting-edge AI organization and make a real impact on technology.
- Qualifications: Bachelor's degree and 3+ years in platform engineering or DevOps.
The predicted salary is between 121500 - 148500 $ per year.
About the Role
Our client, a rapidly expanding AI company, is looking for a skilled AI Platform Engineer focused on Scalability and Infrastructure to join their team in Kimberley, Northern Cape .
This role is critical for building and maintaining the robust, scalable infrastructure that underpins our client's advanced AI solutions.
You will be responsible for ensuring the high availability, performance, and efficiency of our AI platforms, enabling seamless development and deployment for their data science and engineering teams.
The ideal candidate will have a strong background in systems engineering, cloud computing, and a solid understanding of AI/ML workflows.
This is an excellent opportunity to contribute to the growth of a cutting‑edge AI organization in Kimberley .
Key Responsibilities
- Design, implement, and manage scalable and reliable cloud infrastructure for AI/ML workloads.
- Develop and maintain CI/CD pipelines for AI model deployment and infrastructure automation.
- Monitor system performance, identify bottlenecks, and implement solutions to enhance scalability and efficiency.
- Ensure the security, stability, and cost-effectiveness of the AI platform.
- Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.
- Develop and maintain tools and services that support the AI development lifecycle.
- Implement and manage containerization technologies (e. g., Docker, Kubernetes).
- Troubleshoot and resolve infrastructure-related issues.
- Stay current with cloud technologies and best practices for AI infrastructure.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in platform engineering, Dev Ops, or infrastructure management, with a focus on AI/ML environments.
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in scripting languages such as Python or Bash.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with infrastructure as code tools (e. g., Terraform, Ansible).
- Understanding of AI/ML concepts and workflows.
- Experience with monitoring and logging tools.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork abilities.
Benefits
- Our client offers a competitive salary and comprehensive benefits package, including health insurance and retirement savings plans.
- Employees in Kimberley benefit from opportunities for professional development and career growth.
- The hybrid work model allows for a balance between in-office collaboration and remote flexibility.
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AI Platform Engineer in Kimberley employer: Placements24
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