Description

You will lead the design and architecture of platform and infrastructure for AIML and NLP within hybrid cloud environments.

Responsibilities

• Design platform and infrastructure architecture for AIML, NLP, and Generative AI workloads in hybrid cloud settings.
• Drive infrastructure and platform roadmaps that align with technology and business strategy.
• Lead research into highly available, resilient, and fault-tolerant infrastructure solutions.
• Perform hardware and capacity planning, analysis, and forecasting to ensure scalability and performance.
• Collaborate with engineering strategy and platform teams to deliver AIML and GenAI solutions to cloud platforms.

Required Skills

• 3+ years leading design and implementation of grid/cluster computing infrastructure with CPU and GPUs for AIML/NLP.
• 3+ years of experience with Azure and/or GCP/GKE.
• Experience building complex infrastructure programmatically using IaC tools like Terraform or Ansible.
• 1+ years designing solutions with high-performance storage technologies including Object Storage.
• 2+ years supporting network infrastructure for high-throughput, low-latency High Performance Computing (HPC).
• 2+ years of experience with Elasticsearch.
• 1+ years of experience working with BigQuery.
• Working knowledge of developing APIs using Python.
• Deep understanding of cloud concepts: VPC, landing zones, IAM, App Service Environment, Blueprints, and Control Plane.
• Experience with CI/CD, DevOps concepts, and SRE principles.

Preferred Skills

• 1+ years of experience in LLM or Generative AI development or DevOps.
• Experience developing APIs on GCP, Azure, or API Gateways.
• Experience with Apache Spark or data virtualization technologies like Tibco DV or Dremio.

Key Skills

Education

Any Graduate