Description

You will design and architect infrastructure for Generative AI and Predictive AI solutions within public cloud environments.

Responsibilities

• Design and propose AI/ML infrastructure solutions using GCP and Azure services.
• Architect GenAI and Predictive AI systems including model training, inferencing, and scoring workflows.
• Develop and maintain Terraform configurations and custom modules for infrastructure deployment.
• Create system design documentation and deliver technical presentations to stakeholders.
• Manage deployment orchestration using Jenkins and Harness.

Required Skills

• 5+ years of experience in AI/ML infrastructure or solutions design.
• Expertise in GCP Vertex AI services including Workbench, Feature Store, Gemini APIs, and Model Garden.
• Proficiency with Azure AI services.
• Hands-on experience with GKE, Cloud Composer, and Document AI.
• Strong knowledge of IAM, APIs, and cloud security.
• Experience with Terraform for infrastructure as code.
• Proficiency in Jenkins and Harness for deployment orchestration.
• Understanding of ML model lifecycles, specifically training and scoring.
• Ability to utilize RACI matrices for role accountability.

Preferred Skills

• Familiarity with data labeling using Snorkel APIs.

Key Skills

Education

Any Graduate