ATS keywords for a machine learning engineer resume
The key ATS keywords for a machine learning engineer resume are languages and frameworks (Python, PyTorch, TensorFlow, scikit-learn), ML systems work (MLOps, model deployment, feature engineering, model monitoring), data and infrastructure (Spark, Airflow, Kubernetes, Docker), and cloud or modeling specialties (AWS SageMaker, Vertex AI, LLMs, deep learning). Group them and tie each to a model you shipped to production.
The MLE filter distinguishes engineers who ship models from data scientists who prototype them, so the deployment and MLOps vocabulary carries the most weight — model serving, monitoring, pipelines, infrastructure. List the framework and the cloud platform exactly as the posting does, and prove the systems with latency, throughput, or model-performance outcomes in your bullets.
Languages & frameworks
ML systems
Data & infrastructure
Cloud & modeling
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