• Bachelor’s degree or above in Computer Science/Engineering or other related areas. 
• Four or more years of work experience in computer software development related jobs.
• At least two years are in AI / ML Engineering areas with reasonably good understanding of Data Science and AIML practices/workflows.
• Strong expertise in RTML model serving arena and/or large scale cloud-based RT framework development.
• Experience with programming languages such as Python and Java.
• Experience in large application development in cloud environments - AWS, GCP and On-Prem clusters.
• Experience in K8s architecture and principle of operations, hands-on skills of deploying large applications in production K8s cluster, configuring K8s properly, and troubleshooting when the application has issues.
• Good understanding of RT system stats collection and performance monitoring methods. 
• Basic understanding of RT Feature Engineering methodology and practices

Even better if you have one or more of the following:

• Understand basic data science concepts and common needs from data scientists.
• Familiarity with common ML modeling frameworks such as TensorFlow and PyTorch.
• Experience with a scalable distributed model serving framework like Ray Serve will be very helpful.
• Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders.
• Experience with cloud infrastructures and MLOps in clouds.
• Familiar with CI/CD process and common frameworks such as ArgoCD.