Senior Manager- AI Infrastructure Architecture:
Senior Manager- AI Infrastructure Architecture:
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Salary Not Disclosed
1 Vacancy
Job Description
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.
- 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.
Education:
- Bachelors degree in Computer Science Data Science Information Technology or a related field
- Relevant certifications in data engineering or AI/cloud platforms (preferred)
- 8 years of experience in AI platform architecture deployment and optimization ideally within large-scale telecom environments
- Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments
- Hands on experience in AI platform development API management or MLOps practice
- Experience of working in a dynamic fast-paced environment
- Proficiency in AI and machine learning frameworks (TensorFlow PyTorch Keras)
- Proficient with public cloud platforms (AWS Azure Google Cloud) for AI and telecom solutions
- Experience in containerization and orchestration tools (e.g. : Docker Kubernetes) for AI deployment
- Strong understanding of telecom networks (5G IoT edge computing) and how AI can optimize them
- In-depth Knowledge of security protocols in AI and telecom including data privacy encryption and secure access management
Required Experience:
Senior Manager
Employment Type
Contract
