Description

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

This role is on-site.

Responsibilities

• Design and implement MLOps and AIOps solutions using the Google Cloud stack.
• Automate the ML lifecycle, including model training, deployment, and monitoring.
• Develop AI-driven solutions to optimize IT and business processes.
• Manage CI/CD pipelines and version control using Git.

Required Skills

• 8+ years of experience in software engineering or platform development.
• Strong hands-on experience with MLOps and AIOps on Google Cloud Platform.
• Proficiency in DevOps practices and CI/CD tooling.
• Experience with machine learning model deployment and lifecycle management.
• Working knowledge of Google Agentic Framework.
• Experience working with Google LLMs.
• Strong proficiency with Git for version control.

Preferred Skills

• Experience bridging data science and operations teams.
• Background in automating IT operations with AI.

Key Skills

Education

Any Graduate