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

• Build and manage ML and AIOps infrastructure on Google Cloud Platform.
• Automate the ML lifecycle to bridge data science and operations.
• Implement AI-driven solutions to optimize IT and business processes.
• Develop and deploy ML models.

Required Skills

• 8+ years of professional experience.
• Hands-on experience with MLOps and AIOps using the Google stack.
• Proficiency in DevOps and CI/CD practices.
• Experience in ML Modelling and deployment.
• Working knowledge of Git.
• Working knowledge of Google Agentic Framework.
• Experience working with Google LLM.
• Any Graduate degree.

Key Skills

Education

Any Graduate