Machine Learning Engineer ATS Keywords
Top ATS keywords for ML Engineer resumes — the MLOps tools, serving infrastructure, and LLM terms applicant tracking systems screen for.
Essential Keywords
Technical Skills
Soft Skills
Tools & Software
Certifications
Action Verbs for Machine Learning Engineer Resumes
Industry Terms
How to Use These Keywords
Include LLM-era terms (RAG, fine-tuning, vector database, evals) — they're the fastest-growing recruiter searches in ML hiring.
Pair serving keywords with latency/throughput numbers ('35ms p99 at 40M requests/day') to convert ATS matches into interviews.
List both 'MLOps' and its components (model registry, feature store, monitoring) — postings filter at both levels.
Show framework depth on one of PyTorch or TensorFlow rather than claiming both equally — interviewers probe the first listed.
Include 'production' as a literal word — 'production ML' is a top recruiter search phrase distinguishing engineers from researchers.
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