
Master Principal Artificial Intelligence Architect
Full time - Manager
IT Cloud Computing, Software & SaaS
Singapore ( Onsite )
Published 4 weeks ago
Salary: SGD10,000 - SGD15,000
Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview:
This company is a multinational computer technology corporation specializing in developing and marketing database software and technology, cloud-engineered systems, and enterprise software
Requirements – Technical
You bring your proven experience in 3 or more of the following areas. AI Infrastructure experience and experience with LLMs is a MUST
- AI Infrastructure Design: Lead the architecture and implementation of AI and HPC infrastructure, including the use of GPUs/TPUs, high-performance networking, and scalable storage solutions to support GenAI/AI/ML workloads.
- AI Deployment: Experience in deploying large models in production on public clouds (OCI, AWS, Azure, GCP) and hybrid cloud environments, including the use of microservices and containerization (Docker, Kubernetes) to ensure smooth deployment, scaling, and monitoring of AI/ML models in production.
- AI/ML Tools & Frameworks: Design and implement AI systems using industry-standard training, inferencing and deployment tools such as Kubeflow, Ray, CUDA, PyTorch, and TensorFlow, ensuring optimal performance in training and deployment. Exposure to scheduling and automation tools such as Slurm, Terraform is desirable.
- Large Language Models (LLMs): Expertise in working with closed and/or open-source LLMs (e.g., GPT, BERT, Bloom, LLaMA) and understanding the full AI life cycle, including training, fine-tuning, and deploying these models for inference in production environments.
- Performance Optimization: Drive the optimization of AI infrastructure and applications, focusing on efficiency improvements in computational speed and resource management.
- Security & Compliance: Ensure all AI infrastructure and solutions are compliant with industry standards and organizational policies related to security, privacy, and data governance.
- Operating Systems, Protocols, and Tools: Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, and shell scripting. Strong knowledge of networking protocols (TCP/IP, Infiniband, RDMA, UDP, HTTP) is a significant advantage. Experience on high performance storage is desirable.
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