careers

Surveying the rise of Linux as the backbone of AI, the article maps careers from MLOps and data engineering to edge and kernel roles. It spotlights essential skills—CLI mastery, Python, Docker/Kubernetes, GPU/CUDA, security—and core tools like PyTorch and TensorFlow. Key trends include cloud-native pipelines, on-device inference, and privacy-by-design. Practical advice covers certifications, portfolios, and open-source contributions.