AI Platform Engineer

Design and develop scalable platforms for AI and machine learning workloads.

Build and maintain machine learning pipelines for model training, testing, and deployment.

Deploy and manage AI models using cloud platforms and containerization technologies.

Develop and maintain APIs and services for AI model integration.

Implement MLOps practices to automate model development and deployment.

Monitor AI platform performance, reliability, and resource utilization.

Collaborate with data scientists, ML engineers, and software developers.

Manage infrastructure using Docker, Kubernetes, and infrastructure-as-code tools.

Implement security, access controls, and data governance practices.

Troubleshoot platform issues and optimize system performance and costs.