Description

Architect and deploy Generative and Predictive AI infrastructure on GCP and Azure, managing the full lifecycle from training to inference.

This role is hybrid.

Responsibilities

• Design and build GenAI and Predictive AI systems, including model training, inferencing, and scoring workflows.
• Develop and maintain Terraform configurations and custom modules for cloud infrastructure deployment.
• Manage deployment orchestration pipelines using Jenkins and Harness.
• Create system design documentation and deliver technical presentations to stakeholders.
• Utilize RACI matrices to define and track role accountability within the team.

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 practices.
• Experience with Terraform for infrastructure as code.
• Proficiency in Jenkins and Harness for deployment orchestration.
• Understanding of ML model lifecycles, specifically training and scoring phases.

Preferred Skills

• Familiarity with data labeling using Snorkel APIs.

Key Skills

Education

Any Graduate