AI Systems Engineer

About the Role

Our client is a pioneering technology firm looking for a skilled AI Systems Engineer to join their innovative team. This role is critical for the design, implementation, and maintenance of robust AI systems and infrastructure that support our advanced machine learning models and applications. You will work on ensuring the scalability, reliability, and performance of our AI platforms, collaborating closely with data scientists and software developers. The ideal candidate has a strong background in systems engineering with a passion for AI technologies. This position is located in Tembisa, Gauteng, ZA

Key Responsibilities

• Design, build, and manage scalable and reliable AI infrastructure, including hardware and software components.
• Deploy and manage machine learning models into production environments, ensuring seamless integration.
• Develop and maintain CI/CD pipelines for AI/ML workflows, enabling efficient model training and deployment.
• Monitor the performance of AI systems, identify bottlenecks, and implement optimizations.
• Implement and manage MLOps practices to streamline the machine learning lifecycle.
• Collaborate with data scientists and software engineers to troubleshoot and resolve system-related issues.
• Ensure the security and integrity of AI systems and data.
• Automate system tasks and deployments using scripting and relevant tools.
• Stay updated with the latest advancements in AI infrastructure, cloud technologies, and MLOps tools.
• Contribute to technical documentation and knowledge sharing within the engineering team.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in systems engineering, DevOps, or MLOps.
• Strong experience with cloud platforms (AWS, Azure, GCP) and their relevant services for AI/ML.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Understanding of machine learning concepts and the ML lifecycle.
• Experience with infrastructure as code tools (e.g., Terraform, Ansible) is a plus.
• Knowledge of networking, security, and database management principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Benefits

Our client offers a competitive salary, comprehensive health benefits, retirement fund contributions, ample opportunities for professional development and training, and a dynamic work environment that encourages innovation. Join our client and play a key role in building cutting-edge AI systems in Tembisa, Gauteng, ZA

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