Platform Architect
1 week ago
The Platform Engineer - AI & GPU Services will be responsible for implementing and maintaining AI/ML platforms and GPU resource management across cloud (GCP) and on-premise infrastructure. This role combines expertise in cloud services, AI/ML technologies, and infrastructure automation to support both product engineering and platform engineering functions.
Responsibilities:
- Architect, build, and maintain AI/ML platforms using Google Cloud Platform (GCP) services like Compute, Storage, IAM, and VPC.
- Manage NVIDIA GPU resources across projects using Run.ai or similar tools.
- Develop and maintain MLOps pipelines on platforms like Vertex AI, supporting AI/ML model training and deployment.
- Write Python scripts for model development, automation, and infrastructure management.
- Use Terraform for Infrastructure as Code (IaC) to automate provisioning and deployment of cloud resources.
- Deploy and manage AI/ML models on container orchestration platforms such as OpenShift and GKE.
- Collaborate with AI teams to facilitate LLM deployment (e.g., Llama, Mistral) and GPU utilization.
- Automate and enhance CI/CD pipelines for seamless integration and deployment of services.
- Monitor performance and capacity with Prometheus, Grafana, and other observability tools to ensure system stability.
- Engage in DevOps practices, including containerization, orchestration, and infrastructure management.
Qualifications:
- Strong experience with Google Cloud Platform (GCP) and its core services (Compute, Storage, IAM, VPC).
- Experience with GPU resource management tools (e.g., Run.ai).
- Proficiency with Python for AI/ML workflows and automation.
- Hands-on experience with MLOps platforms like Vertex AI.
- Experience with Terraform for managing cloud infrastructure using Infrastructure as Code (IaC) practices.
- Knowledge of Kubernetes and container orchestration platforms such as OpenShift and GKE.
- Familiarity with monitoring and logging tools like Prometheus, Grafana, and the ELK Stack.
- Proven track record of working with CI/CD pipelines and DevOps automation tools.
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