Description

You will lead technical development within AI and client engineering environments, owning the deployment and optimization of large-scale applications.

This role is on-site.

Responsibilities

• Develop and serve RTML models and large-scale cloud-based RT frameworks.
• Deploy and configure large applications within production Kubernetes clusters.
• Troubleshoot application issues within Kubernetes architectures.
• Implement RT system stats collection and performance monitoring methods.
• Apply RT Feature Engineering methodologies to development workflows.

Required Skills

• 4+ years of experience in computer software development.
• 2+ years of experience in AI or Client Engineering.
• Proficiency in Python and Java.
• Experience developing large applications in AWS, GCP, or On-Prem clusters.
• Hands-on experience with Kubernetes 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.

Key Skills

Education

Any Graduate