Description
You will lead technical development within AI and client engineering environments.
Responsibilities
- Develop and serve RTML models and large-scale cloud-based RT frameworks.
- Deploy and configure large applications within production K8s clusters.
- Troubleshoot application issues within Kubernetes architectures.
- Implement RT system stats collection and performance monitoring methods.
- Apply RT Feature Engineering methodologies and practices to development workflows.
Required Skills
- 4+ years of experience in computer software development.
- 2+ years of experience in AI or Client Engineering.
- Working knowledge of Data Science and AIML practices/workflows.
- Proficiency in Python and Java.
- Experience developing large applications in AWS, GCP, or On-Prem clusters.
- Hands-on experience with K8s architecture and operations.
- Understanding of RT system performance monitoring.
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
Preferred Skills
- Experience with cloud infrastructures, MLOps, and CI/CD frameworks like ArgoCD.
- Ability to communicate technical concepts to non-technical business stakeholders.