AI DevOps Specialist for Celestica
Posted
Summary
This specialist deploys, administers, and secures Celestica's internal AI sandbox environment for its engineers, managing cloud services on GCP, model registries, API usage/budgets, and compliance with AI best practices. Day to day it's DevOps/MLOps work heavy on GCP, Python, Bash, networking, and security.
Transform AI capabilities as an AI DevOps Specialist at Celestica in Toronto. This position emphasizes secure AI deployment and continuous optimization aligned with business needs.
As an integral part of the team, you'll lead the technical deployment and administration of the HPS AI sandbox environment. Your role involves managing cloud services and enforcing compliance with industry best practices in AI development. Collaborating with diverse stakeholders, you will optimize resources and ensure reliable developer access to AI tools.
Key Responsibilities: • Manage deployment of AI Sandbox across multiple platforms • Configure user-facing AI interfaces for engineers • Establish frameworks for AI workflow organization • Administer model registries and baseline configurations • Oversee budget tracking and API utilization
Requirements: • Bachelor’s in Computer Science, Software Engineering, or related • Minimum of 4 years in DevOps with a focus on AI/MLOps • Advanced proficiency in GCP and AI tooling • Strong networking and security knowledge • Skilled in Python and Bash scripting
Drive innovation in AI performance and strategy with Celestica's Toronto team.
As an integral part of the team, you'll lead the technical deployment and administration of the HPS AI sandbox environment. Your role involves managing cloud services and enforcing compliance with industry best practices in AI development. Collaborating with diverse stakeholders, you will optimize resources and ensure reliable developer access to AI tools.
Key Responsibilities: • Manage deployment of AI Sandbox across multiple platforms • Configure user-facing AI interfaces for engineers • Establish frameworks for AI workflow organization • Administer model registries and baseline configurations • Oversee budget tracking and API utilization
Requirements: • Bachelor’s in Computer Science, Software Engineering, or related • Minimum of 4 years in DevOps with a focus on AI/MLOps • Advanced proficiency in GCP and AI tooling • Strong networking and security knowledge • Skilled in Python and Bash scripting
Drive innovation in AI performance and strategy with Celestica's Toronto team.