Machine Learning Test Capability Eng.
Tasks
- Apply supervised and unsupervised learning to discover latent patterns
- Build scalable data pipelines for test data aggregation and normalization
- Communicate findings to technical and non-technical stakeholders
- Design and deploy machine learning solutions for manufacturing test platforms
- Develop machine learning models for test outcome prediction
- Establish model validation versioning and deployment best practices
- Identify process drift and hardware degradation using machine learning
- Perform anomaly detection and failure classification
- Translate model results into actionable test platform changes
Perks/Benefits
- Competitive compensation
- Comprehensive benefits package
- Professional growth
- State-of-the-art facility
Skills/Tech-stack
Anomaly Detection | Big Data | Classification | Clustering | Data Pipelines | Data Visualization | JMP | Machine Learning | Model Deployment | Model Validation | Model versioning | Pandas | PyTorch | Python | Regression | SQL | Scikit-learn | Statistical inference | Supervised Learning | TensorFlow | Unsupervised Learning
Education
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