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Behavox

Montreal (Administrative Region) / Global

Senior DevOps Engineer in ML

Job Description

Join Behavox as a Senior DevOps Engineer and advance your career in machine learning infrastructure. Your role focuses on scalable development within AWS and GCP environments to optimize ML models.

This position offers a unique greenfield opportunity to create high-impact infrastructure and tools in a collaborative team. You'll be involved in designing data frameworks, managing Kubernetes, and streamlining CI/CD processes. Your contributions will directly enhance the efficiency and success of machine learning initiatives across the organization.

Key Responsibilities:

• Manage complex distributed software systems

• Design and build scalable, secure infrastructure

• Automate software delivery using CI/CD pipelines

• Develop Python tools and services

• Improve overall cloud infrastructure reliability

Requirements:

• Strong expertise in Linux system administration

• Experience with cloud solutions in AWS and GCP

• Hands-on understanding of Kubernetes principles

• Proficiency in development scripting (Python, Bash)

• Passionate about Behavox’s mission and technology

Utilize your DevOps skills and passion for machine learning to shape the future of AI at Behavox.

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