Senior AI/Machine Learning Engineer
Tasks
- Apply generative AI with LLMs
- Conduct experiment tracking
- Deploy and monitor ML models
- Explain model limitations and uncertainty
- Implement MLOps best practices
- Mentor teammates
- Own ML solutions end-to-end
- Practice responsible AI
- Present demos and recommendations to stakeholders
- Set up model drift monitoring
- Support adjacent engineering and data work
- Train evaluate and iterate models
- Translate business problems into scoped solutions
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible spending account
- Growth opportunities
- Health savings account
- Life insurance
- Long-term disability insurance
- Medical insurance
- Paid time off
- Remote work opportunity
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
AWS | Azure | Bias Variance | CI/CD | Cloud platform | Drift monitoring | Embeddings | Error Analysis | Experiment tracking | Feature Engineering | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | Model Training | Model drift monitoring | Overfitting | PyTorch | Python | RAG | Regularization | Responsible AI | SQL | Scikit-learn | TensorFlow | Train Validation Test
Education
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