Data Scientist
Accelerate model development with AI, automate feature engineering, and intelligent algorithm selection
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.
Explore the essential AI skills and tools needed for Data Scientist in the modern workplace.
Skill Dimensions Overview
AI/ML Foundations & LLMs
Modern AI/ML foundations including LLM applications, advanced frameworks, and model optimization techniques.
Advanced AI Techniques
Cutting-edge AI techniques including multimodal AI, reinforcement learning, and federated learning systems.
AI Infrastructure & MLOps
Building scalable AI infrastructure, MLOps pipelines, and production-ready AI systems with monitoring.
AI-Driven Data Engineering
AI-enhanced data engineering including vector databases, real-time pipelines, and intelligent data quality systems.
AI Research & Innovation
Research implementation, AI safety, and contributing to the advancement of AI technology and ethics.
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- Practice with the provided examples to gain hands-on experience
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