Senior Applied AI/ML Scientist
Tasks
- Build and deploy NLP and deep learning models
- Collaborate with product and engineering teams
- Communicate AI capabilities and limitations
- Create APIs and services
- Design A/B tests and experimentation frameworks
- Design evaluation frameworks for AI features
- Develop and implement models and solutions
- Develop production large language models
- Ensure AI/ML model security and ethics
- Lead development and deployment of AI/ML features
- Prototyping with new AI/ML technologies
Perks/Benefits
- Charitable giving
- Family care
- Financial wellness
- Health benefits
- Home office stipend
- Internet stipend
- Lifestyle stipend
- Mental health support
- Paid time off
Skills/Tech-stack
AI Model Security | AWS | Anthropic | Azure | Bias Mitigation | Deep learning | Elasticsearch | Embeddings | Ethical AI | GCP | Java | LGBM | Language Processing | ML Ops | Machine Learning | Model Deployment | Model Security | Natural Language | Natural Language Processing | NumPy | OpenAI | OpenSearch | Pandas | Prompt engineering | PyTorch | Python | REST APIs | SQL | TensorFlow | Transformer Architectures | XGBoost
Education
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