GenAI Platform Engineer

We are looking for an experienced Senior GenAI / MLOps Engineer with 7 to 9 years of experience in designing, deploying, and managing AI/ML applications on Google Cloud Platform. The ideal candidate should have expertise in Google ADK (Python), MLflow, GCP Cloud Run, GCP Logging, Terraform, and GitHub Actions. Technical 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. 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. Preferred Skills: Technology->AI-Generative AI->Generative AI for Data Analytics