Senior Data Scientist
New York, New York, United States
USD 130K-145K Senior-level Full Time
Tasks
- Break down ambiguous requirements into technical components
- Build RAG pipelines and agentic workflows
- Deploy solutions using containerized cloud environments
- Design build and maintain LLM driven applications
- Design evaluation and observability frameworks
- Develop information extraction and semantic search systems
- Evaluate and deploy LLMs in production
- Implement prompt engineering and tuning
- Integrate AI models into backend APIs
- Monitor and optimize model and prompt performance
- Orchestrate production LLM workflows
Perks/Benefits
- Educational reimbursement
- Gym subsidies
- Health benefits
- Matched 401k
- Paid time off
- Parental leave
- Pension plan
- Pet-friendly offices
- Recognition programs
Skills/Tech-stack
APIs | AWS | Agentic Workflows | Caching | Containerization | Docker | Embeddings | GenAI | GitHub | Human-in-the-loop | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt Tuning | Prompt engineering | Python | RAG | Retrieval | Semantic Search | The Loop | Tool use | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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