SUMMARY : Overview :
Develop and manage scalable AI infrastructure strategies for cloud and on-prem environments to support enterprise AI workloads.
Key Responsibilities :
- Architect infrastructure for AI training, inferencing, and deployment.
- Design cost-efficient, secure, high-performance AI environments.
- Implement MLOps pipelines and Infrastructure as Code (IaC).
- Manage orchestration using Kubernetes and real-time monitoring.
- Ensure seamless integration with enterprise IT systems.
- Drive governance, compliance, and performance tuning.
Experience & Skills :
8+ years in AI infrastructure / cloud computing.Hands-on with Terraform, Ansible, Kubernetes, Docker.Deep experience with cloud platforms (AWS, Azure, GCP).Proven performance and cost optimization strategies for AI systems.CVS to be sent directly to : teboho@eqplus.co.za
POSITION INFO : Platform Architect :
Education :
Bachelor’s degree in Computer Science, Data Science, Information Technology or a related fieldRelevant certifications in or AI / cloud platforms (preferred)Experience :
8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environmentsStrong background in designing enterprise-scale AI platforms integrating with IT and cloud environmentsHands on experience in AI platform development, API management, or MLOps practiceExperience of working in a dynamic, fast-paced environmentSkills :
Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutionsExperience in containerization and orchestration tools (e.g. : Docker, Kubernetes) for AI deploymentStrong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize themIn-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management