Data Scientist - Modern ML Frameworks & Training
Modern ML Frameworks & Training for Data Scientist: A comprehensive guide to mastering Modern ML Frameworks & Training as a Data Scientist. Learn recommended tools, practical applications, and resources to develop this critical AI skill.
Modern AI/ML foundations including LLM applications, advanced frameworks, and model optimization techniques.
Cutting-edge AI techniques including multimodal AI, reinforcement learning, and federated learning systems.
Building scalable AI infrastructure, MLOps pipelines, and production-ready AI systems with monitoring.
AI-enhanced data engineering including vector databases, real-time pipelines, and intelligent data quality systems.
Research implementation, AI safety, and contributing to the advancement of AI technology and ethics.
Modern ML Frameworks & Training
Using PyTorch, JAX, and Lightning AI to implement state-of-the-art architectures with distributed training and comprehensive experiment tracking.
- Implement state-of-the-art transformer architectures
- Build scalable ML training pipelines with distributed computing
- Deploy real-time inference systems with model optimization
- Manage ML experiment tracking and model versioning
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