Senior AI/ML Engineer
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Summary
Designs, trains, and deploys ML models with MLOps, builds evaluation pipelines, and integrates generative AI for explainability in a product-focused team.
- Build model evaluation metrics
- Correlate events
- Create evaluation datasets
- Deploy models using MLOps
- Design machine learning models
- Detect anomalies
- Develop graph neural networks components
- Develop model validation pipelines
- Implement machine learning models
- Improve model explainability
- Integrate generative ai for explanations
- Package models for deployment
- Perform root cause analysis
- Prioritize root causes
- Serve machine learning models
- Train machine learning models
- Use network topology features
- Validate model accuracy with network experts
Perks/Benefits:
- Certifications
- Company events
- English classes
- Flexible compensation
- Flexible work hours
- Medical insurance
- Paid vacation
- Training
- Work from home
