Senior DevOps Engineer (ML Ops)

A cutting-edge AI technology company Creating Visual generative AI models and products at the forefront of innovation is looking for a Senior DevOps Engineer to support cloud and on-premises infrastructure for the company's AI, B2B, and large-scale storage. If you love solving complex problems at scale with a software-first approach, prefer to write reliable and testable software to automate infrastructure management, and are an ace troubleshooter, then this is the role for you.

You will have the opportunity to work with technologies like AI and ML flows, GPUs, Kubernetes.

You Will

• Optimize practices of GPU usage
• Work closely with AI engineers to drive and implement optimization initiatives
• Design and deploy distributed Kubernetes clusters
• Improve ML and AI flows
• Be involved in architectural discussions and share the knowledge
• Research (POC) to improve various aspects of the infrastructure
• Deploy and maintain applications on cloud-native microservices architecture
• Plan, build and continuously improve infrastructure, policies, and procedures Automate manual tasks
  
  

• 5+ years of industry experience
• Strong hands-on experience working with GPUs, AI, and ML flows
• Experience in programming in Python, Go, or similar language
• Hands-on experience with building and managing CI/CD workflows and tools
• Experience with monitoring and log aggregating frameworks
• General networking knowledge and troubleshooting experience
• Experience designing high-traffic, fault-tolerant systems at the global scale