Senior DevOps Engineer in ML

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.