machine learning skills

Artificial Intelligence Career Checklists distills the AI journey into clear, step-by-step lists. It maps core math, coding, and ML/DL skills; recommended tools and MLOps; portfolio and research habits; ethics and responsible AI; and job-search tactics. Tailored tracks guide students, switchers, and leaders across roles from data science to ML engineering.

Craft an AI-ready resume: tailor to the role, surface core skills (Python, TensorFlow/PyTorch, SQL), and quantify impact with clear metrics. Showcase end-to-end projects, MLOps/deployment, data pipelines, and teamwork. Link GitHub/portfolio, note publications and certs. Use ATS-friendly keywords, concise bullets, STAR results, and highlight responsible AI and measurable business outcomes.