(Senior) ML DevOps Engineer

Join the leader in entertainment innovation and help design the future. As a Machine Learning Operations Engineer, you'll partner with research and development to establish machine-learning best practices and tools.

Requirements

• Troubleshooting high-performance computing, storage, and networks for machine-learning workloads
• Collaborate with research, development, and engineering to establish machine-learning and data management workflows
• Improve capabilities of data set exploration, transformation, and overall data management of large to very large datasets
• Collaborate with research and development to proactively iterate and fine-tune model training for best performance and efficient use of machine-learning resources
• Collaborate with infrastructure teams to improve on-premise and cloud infrastructure
• Improve use of cloud compute and storage for global research teams and manage within budget
• Comprehensive knowledge of AWS and infrastructure-as-code techniques
• Advanced proficiency with Python, Terraform, Cloud Formation, Ansible, git, and related
• Experience with machine learning and scaling workloads with both cloud and on-premise GPU server environments
• Experience with managing and coordinating storage of large machine learning data sets
• Proficiency in Kubernetes cluster design, deployment, and management
• Interest and understanding of industry trends in machine-learning development techniques and tools and processes
• Comprehensive knowledge of continuous integration and continuous release processes and tools