Senior Quant, Artificial Intelligence/Machine Learning
Tasks
- Communicate validation outcomes
- Conduct AI/ML research and development
- Create training curriculum
- Create white-papers
- Deploy AI/ML models
- Design Deep Learning architectures
- Develop benchmark AI/ML models
- Develop technical validation guidance
- Evaluate model performance
- Implement NLP models
- Implement computer vision models
- Mitigate model risk
- Monitor models in production
- Remediate model issues
- Review model development documentation
- Test advanced AI ML models
- Test agentic AI models
- Test generative AI models
- Validate AI/ML models
Perks/Benefits
- 401k employer match
- Adoption Assistance
- Healthcare benefits
- Paid Holidays
- Paid parental leave
- Paid vacation
Skills/Tech-stack
AWS Bedrock | Adversarial Testing | Agent systems | Azure AI | CNN | Computer Vision | Deep learning | DeepEval | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Keras | LLM Evaluation | LLM-as-a-Judge | Langchain | Langgraph | Llamaindex | MLP | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | NLP | NumPy | Pandas | PyTorch | Python | RAG | RNN | Ragas | Random Forest | Retrieval-Augmented Generation | Risk Management | Scikit-learn | Semantic similarity | TensorFlow | Vector Databases | Vertex AI | XGBoost
Education
Regions
Countries
States
Cities
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