MLOps Engineer

We are seeking an experienced MLOps engineer to join our Air Power team and lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. The successful candidate will have experience deploying production-grade ML models onto cloud environments, building and maintaining CI/CD pipelines for ML, and managing ML workloads to design elastic infrastructure to scale as needed.

Requirements

• Experience deploying production grade ML models onto cloud environments like AWS bedrock.
• Experience in building and maintaining CI/CD pipelines for ML
• Experience in managing ML workloads to design elastic infrastructure to scale as needed to provide cost effective resource management for clients
• Knowledge of MLOps Frameworks and Container Systems, such as Kubernetes or Docker
• Bachelor's degree in computer science or software engineering
• AWS Cloud Certification

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program