How to match your resume to a Machine Learning Engineer job description
We are looking for a Machine Learning Engineer to productionise models as reliable, monitored services. You will build training and inference pipelines, and own model performance and drift in production. Required: hands-on experience with Python, Model deployment, Feature stores, Model monitoring, and working knowledge of PyTorch, TensorFlow, Kubeflow. Preferred: AWS Certified Machine Learning Specialty or TensorFlow Developer Certificate. Success in this role is measured by inference latency, model drift detection time, training cost.
Required skills to mirror
- Python
- Model deployment
- Feature stores
- Model monitoring
- Distributed training
- MLOps
- APIs
- Data pipelines
Seniority ladder
- ML Engineer
- Senior ML Engineer
- Staff ML Engineer
Title variants
- ML Engineer
- AI Engineer