Technology / IT · ATS #1

AI/ML Engineer Resume Template — Compact Design

AI and ML engineers need resumes that bridge research depth with production engineering. Highlight model deployment, MLOps pipelines, and real-world performance improvements. The Compact template — ultra-space-efficient single-column. Perfect ATS score for senior roles with dense experience. — pairs that with a layout built to get noticed by both recruiters and ATS software.

Use This Template — Free More AI/ML Engineer Templates

Taylor Reed

AI/ML Engineer

taylor.reed@email.com(555) 123-4567New York, NYlinkedin.com/in/taylorreed🔗

Summary

AI and ML engineers need resumes that bridge research depth with production engineering. Highlight model deployment, MLOps pipelines, and real-world performance improvements.

Experience

AI/ML Engineer–Acme Corporation

2022 — Present

•Delivered measurable results by applying PyTorch and TensorFlow across cross-functional projects.

•Partnered with stakeholders to improve outcomes using Python.

•Recognised for consistent, high-quality delivery as a ai/ml engineer.

AI/ML Engineer–Globex Inc.

2020 — 2022

•Owned end-to-end initiatives involving MLOps and Kubeflow, reporting directly to senior leadership.

•Improved team processes by introducing structured use of ONNX.

•Mentored new hires on PyTorch best practices and onboarding standards.

Junior AI/ML Engineer–Initech LLC

2018 — 2020

•Supported senior team members on initiatives involving MLOps.

•Built foundational experience in Kubeflow early in career.

Skills

PyTorchTensorFlowPythonMLOpsKubeflowONNXLLMsRAGVector DatabasesAWS SageMaker

Education

Bachelor's Degree

State University · 2018

Certifications

•Certified Professional in Cloud Practice

Languages

EnglishNative

SpanishProfessional

Strengths

•Leadership

•Communication

•Problem Solving

•Adaptability

•Time Management

Courses & Training

Advanced PyTorch — Professional CertificateTensorFlow Fundamentals

Interests

Reading · Hiking · Chess

Projects

PyTorch Initiative—Led a cross-functional project applying PyTorch to improve business outcomes.

Achievements

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Excellence Award— Recognised for outstanding performance in PyTorch.

▸

Process Improvement— Led an initiative that improved team efficiency by 20%.