AI Specialist (Artificial Intelligence Specialist)

Your days blend model building, experimentation, and deployment logistics. You're training neural networks, debugging why model performance dropped in production, and coordinating with data engineers and product managers to ship features. You might spend Tuesday deep in PyTorch, then Wednesday in a deployment planning meeting. What's harder than expected: managing expectations around AI limitations. Models have brittle failure modes, and you spend real energy explaining what's actually possible to people who read hype. What helps you thrive: comfort with continuous learning (the field moves fast), patience for incremental improvements, and ability to think across the full lifecycle — not just the fun training part.