What You’ll Do

• Contribute to the development of the Everywhere Inference platform – a Kubernetes-based solution enabling scalable and portable AI inference across a wide range of environments.
• Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
• Focus on packaging and integrating new ML models into the platform, using Python and common ML frameworks.
• Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
• Collaborate with customers to fine-tune ML model performance and support their unique use cases.
• Work with cross-functional teams to improve the AI applications marketplace and ensure smooth model onboarding and lifecycle management.
• Stay current with trends in Kubernetes, machine learning, and MLOps, and help drive innovation within the platform.