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AI and ML engineering roles cover model training and inference infrastructure, applied LLM work, ranking and recommendation systems, computer vision, and speech. The market splits between research-leaning labs (OpenAI, Anthropic, DeepMind, Mistral, Cohere) and applied-ML teams at every major SaaS and consumer company. Senior roles typically expect production experience with PyTorch or JAX, distributed training, and at least one shipped model in front of real users.
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