Sample Resume Preview
John Doe
John Doe
ML engineer with 3+ years of experience building and deploying machine learning models to production. Expertise in TensorFlow, PyTorch, and MLOps pipelines. Passionate about creating reliable ML systems that deliver measurable business impact.
Experience
Machine Learning Engineer
AIPlatform — India
Apr 2021 – Present
- Built and deployed a real-time recommendation system serving 100K+ users with 95% inference accuracy
- Implemented MLOps pipeline using MLflow and Kubeflow reducing model deployment time by 70%
- Developed feature engineering pipeline processing 500+ features for ML models
- Optimized model inference latency from 200ms to 30ms using TensorRT and quantization
ML Engineer
DataLabs — India
Aug 2019 – Mar 2021
- Built NLP text classification model achieving 94% F1 score for customer support ticket routing
- Created A/B testing framework for model evaluation across 5 production ML models
- Designed data pipeline using Apache Spark processing 10TB+ of training data
Education
Indian Institute of Technology
B.Tech in Computer Science
Aug 2017 – Jun 2021
GPA: 8.6/10
Delhi Public School
XII in Science
Apr 2015 – Mar 2017
GPA: 92%
Skills
Example resume for a Machine Learning Engineer Resume position. Customize it with your own experience.
Machine Learning Engineer Resume — Examples & Format
An ML engineer resume should demonstrate model development, deployment pipelines, data engineering, and production ML system expertise.
Recommended Resume Sections
ATS Keywords to Include
These keywords help your resume pass ATS filters used by Indian recruiters.
Tips for a Strong Resume
- Focus on production ML, not just notebooks
- Show model performance and business impact
- Describe MLOps and deployment pipelines
- Include feature engineering approach
- Show data pipeline and ETL experience