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, inference 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 : emailprotected
Education
Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related fieldRelevant certifications in data engineering 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 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 (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 managementEmployment Type : Contract
Experience : Senior Manager
Key Skills : Joomla, Customer Support, Interior Fit-Out, Client Services, Architecture
Vacancy : 1
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