Your Epic Quest Awaits As our MLOps Intern, you’ll build the heavy-duty infrastructure required to train massive AI models, turning theoretical data science into scalable, production-ready reality. Your adventure will include:
- Forging the MLOps Arena: Deploy, configure, and maintain Kubeflow on a Kubernetes cluster to support the entire machine learning lifecycle.
- Orchestrating the Swarm: Leverage Distributed Training operators to efficiently scale large AI models across multiple CPU and GPU nodes without breaking a sweat.
- Automating the Intelligence Factory: Construct seamless, end-to-end ML pipelines that handle everything from data preprocessing and model training to evaluation and artifact tracking.
- Creating the Scaling Playbook: Document the architecture and share insights on how to optimize resource usage for distributed AI training.
The Tech You'll Master Get ready to level up your skills. You'll gain hands-on experience with a cutting-edge tech stack used by the best in the industry.
- Container Orchestration: Kubernetes (K8s) will be the foundation of your platform.
- MLOps Platforms: Kubeflow will be your command center.
- Distributed Training: Work with operators like PyTorchJob or TFJob.
- AI Frameworks: Gain exposure to industry standards like PyTorch and TensorFlow.
- Programming & Scripting: Use Python to script pipelines and automate the ML lifecycle.
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