Principal Data Scientist_Boston
Tasks
- Architect hallucination detection and monitoring
- Define generative ai science roadmap
- Deploy and optimize llm systems for accuracy safety reliability
- Design model alignment strategies
- Establish evaluation benchmarks and testbeds
- Implement continuous monitoring and regression testing
- Lead model selection and adaptation
- Lead responsible ai and ai governance initiatives
- Mentor data scientists and applied ml engineers
- Pioneer rag architectures
- Transition research prototypes to production microservices
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Governance | AWS Bedrock | Attention Mechanisms | Azure AI | Azure AI Foundry | Bias Mitigation | DPO | Databricks | Deep learning | Distributed Computing | Embeddings | Explainability | Fine Tuning | Generative AI | Graph Databases | GraphRAG | Hallucination detection | Hybrid search | Knowledge graphs | LLM Evaluation | Language Models | Large Language Models | LoRA | MLflow | Neo4j | NumPy | OpenSearch | PEFT | PGVector | Pandas | Pinecone | PySpark | PyTorch | Python | QLoRA | Qdrant | RAG | RLHF | Retrieval-Augmented Generation | Scikit-learn | Statistical Evaluation | Toxicity Prevention | Vector Search
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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