Description

You will build and maintain infrastructure supporting AI and ML workloads on Google Cloud Platform. You own the release pipelines, wrapper services, and APIs that enable developer interaction with models.

Responsibilities

• Design and manage cloud-based services in GCP to support AI/ML workloads.
• Develop wrapper services and APIs for model integration using Python or Java.
• Implement grounding techniques to align AI outputs with business goals.
• Resolve complex, undefined technical challenges in evolving environments.
• Collaborate with cross-functional teams to ensure reliable service delivery.

Required Skills

• 5+ years of DevOps engineering experience.
• Strong proficiency with Google Cloud Platform (GCP) services.
• Experience writing code in Python or Java.
• Ability to interface with and manage AI and ML models.
• Skills in creating APIs and wrapper services.
• Experience standing up and managing cloud infrastructure.
• Strong problem-solving skills for vague or undefined challenges.

Preferred Skills

• Experience with model grounding and alignment.
• Background in fast-paced, innovative engineering teams.

Key Skills

Education

Any Graduate