GenAI Platform Engineer

Educational Requirements Service Line Responsibilities

• Develop and deploy AI/ML applications using Google ADK and Python.
• Build, track, and manage ML lifecycle workflows using MLflow.
• Deploy scalable services on GCP Cloud Run.
• Implement monitoring, logging, and observability using GCP Logging.
• Automate infrastructure provisioning using Terraform.
• Design and manage CI/CD pipelines using GitHub Actions.
• Collaborate with cross-functional teams to deliver secure and scalable AI solutions.

Additional Responsibilities

• Experience: 5 to 8 Years of experience
• Location: PAN India.

Technical and Professional Requirements

• Strong hands-on experience with Google ADK and Python.
• Expertise in MLflow and MLOps practices.
• Experience with GCP Cloud Run and GCP Logging.
• Proficiency in Terraform for Infrastructure as Code (IaC).
• Strong experience with GitHub Actions and CI/CD automation.
• Good understanding of cloud-native architectures and AI/ML deployment.

Preferred Skills

• Technology->AI-Generative AI->Generative AI for Data Analytics