Description

Build and maintain infrastructure supporting AI/ML workflows and DevOps activities.

This role is on-site.

Responsibilities

• Design and implement scalable solutions on Google Cloud Platform.
• Integrate machine learning workflows with DevOps pipelines.
• Optimize LLM performance through tuning and prompt engineering.
• Support DevOps activities to enhance AI/ML workflow efficiency.

Required Skills

• 10+ years of professional software engineering experience.
• Strong proficiency in Python, Jenkins, and shell programming.
• Hands-on experience with Google Cloud Platform and gcloud CLI.
• Practical knowledge of Vertex AI and Generative AI frameworks.
• Proven ability in prompt engineering and LLM tuning.
• Solid understanding of DevOps principles and CI/CD practices.
• Any graduate degree in a relevant field.

Key Skills

Education

Any Graduate