Machine Learning Engineer, Supportability
Tasks
- Apply modern machine learning techniques
- Build detection and decisioning systems
- Collaborate on product feature implementation
- Conduct model performance evaluation
- Deploy models to production
- Design AI/ML models
- Drive expansion of LLM based systems
- Integrate AI/ML models into production systems
- Perform data cleaning and noise reduction
- Prototype AI ML approaches
- Research new AI/ML techniques
- Scale model systems for reliability
- Train and evaluate models offline and online
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | Data cleaning | Deep learning | Generative AI | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Model calibration | Multi-Armed Bandits | PyTorch | TensorFlow | Transformers | XGBoost
Education
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