AI DevOps Engineer - Remote

Overview

As an AI DevOps Engineer at Leadtech, you will play a key leadership role in establishing scalable workflows, infrastructure, and best practices for managing AI models in production.

In Short

• Design, implement, and manage scalable CI/CD pipelines for AI models.
• Conduct technical investigations of AI models for performance and scalability.
• Automate deployment, monitoring, and maintenance of AI applications.
• Continuously improve workflows with best practices in automation.
• Optimize infrastructure usage and manage costs effectively.
• Implement containerization strategies using Docker and Kubernetes.
• Establish security best practices for AI workloads.
• Collaborate with cross-functional teams for seamless AI integration.
• Take ownership of AI model demonstrations for stakeholders.
• Stay updated on industry trends in DevOps and AI infrastructure.

Requirements

• Strong expertise in MLOps.
• Practical experience in CI/CD pipelines.
• Experience in cloud infrastructure management.
• Ability to collaborate with stakeholders.
• Knowledge of automation tools and practices.
• Experience with Docker and Kubernetes.
• Understanding of security best practices.
• Ability to troubleshoot and resolve issues.
• Familiarity with logging and monitoring frameworks.
• Passion for continuous improvement in AI and DevOps.

Benefits

• Work in a diverse and inclusive team.
• Opportunity to shape AI capabilities in a leading company.
• Engage in innovative projects that reach millions of users.
• Collaborate with talented professionals across various fields.
• Access to continuous learning and development opportunities.