Description

You will build, deploy, and maintain machine learning models and large-scale cloud-based frameworks in production.

This role is hybrid.

Responsibilities

• Develop and maintain RTML models and large-scale cloud-based frameworks.
• Deploy large applications into production Kubernetes clusters.
• Configure and troubleshoot Kubernetes architecture and operations.
• Monitor RT system statistics and performance metrics.
• Collaborate with team members to solve complex technical problems.

Required Skills

• 4+ years of experience in computer software development.
• 2+ years of experience in AI/ML Engineering.
• Proficiency in Python and Java.
• Experience developing large applications in AWS, GCP, or On-Prem clusters.
• Hands-on experience with K8s architecture, deployment, and troubleshooting.
• Practical understanding of Data Science and AI/ML workflows.
• Knowledge of RT system stats collection and performance monitoring.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Bachelor's degree