GenAI Platform Engineer

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

• Generative AI for Data Analytics

Educational Requirements

MBA,MSc,MTech,Bachelor of Engineering,BBA,BSc,BTech