Description

You will build and manage the end-to-end Machine Learning (ML) and IT operations (AIOps) infrastructure on Google Cloud Platform (GCP).

This role is on-site.

Responsibilities

• Automate the ML lifecycle processes.
• Bridge the gap between data science teams and operations.
• Implement AI-driven solutions to optimize IT and business processes.
• Apply hands-on experience in MLOps and AIOps using the Google stack.

Required Skills

• 5+ years of professional experience.
• Strong knowledge of DevOps and CI/CD practices.
• Experience with ML Model deployment.
• Proficiency in Git workflows.
• Working knowledge of Google Agentic Framework.
• Experience working with Google LLM.
• Skills in MLOps, DevOps, CI/CD, and Modelling.

Key Skills

Education

Any Graduate