Generative AIMachine learning Architect

San Mateo, CA - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Push the limits of performance with GPU & accelerator optimization (cloud hardware).
GenAI is mandate
Proficient in Python Databricks and ETL Pipeline
Pinecone and MLops
GPU

Must Have

Expertise in Microsoft Azure Architecture
Strong experience designing and operating enterprise-scale cloud infrastructure.
Deep understanding of AI infrastructure components and their integration.
Proficiency with Infrastructure-as-Code (Terraform Ansible).
Strong experience with Kubernetes and containerized platforms.
GPU & Accelerator Optimization (Cloud Hardware)
Experience of GPU utilization memory bandwidth interconnects
Choosing the right instance types accelerators and scaling models

Good to Have

Experience with GPU/accelerator platforms (NVIDIA AMD custom accelerators).
Knowledge of distributed AI training frameworks and high-performance computing (HPC) concepts.
Exposure to MLOps platforms model lifecycle management and AI pipelines.
Familiarity with multi-cloud or hybrid cloud strategies (AWS GCP Oracle Cloud).
Experience with FinOps practices for AI workloads.
Understanding of data locality high-throughput networking (RDMA InfiniBand) and parallel file systems.
Ability to translate AI workload requirements into infrastructure reference architectures.

Push the limits of performance with GPU & accelerator optimization (cloud hardware). GenAI is mandate Proficient in Python Databricks and ETL Pipeline Pinecone and MLops GPU Must Have Expertise in Microsoft Azure Architecture Strong experience designing and operating enterprise-scale clou...