Senior Data Scientist
Charlotte, United States
USD 125K-200K (estimate) Senior-level Full Time
Tasks
- Apply agile practices for project management
- Build and integrate LLM and RAG solutions into enterprise platforms
- Coordinate data analysis optimization
- Create and review technical documentation
- Design and implement AI-powered solutions
- Design scalable microservices architectures
- Develop backend systems
- Develop revenue generating analytics
- Ensure system observability logging monitoring alerting
- Evaluate and adopt emerging AI technologies
- Identify data-driven insights
- Lead design development and deployment of AI applications
- Lead end to end delivery of AI and non AI solutions
- Mitigate risks with controls
- Oversee risk management strategy development
- Own delivery accountability planning execution testing production rollout
- Review deliverable quality timeliness
Perks/Benefits
- Career development opportunities
- Employee wellness support
- Flexible benefits
- In-office collaboration
- Inclusive work culture
Skills/Tech-stack
AI Deployment | AI Explainability | AI Governance | AWS | Agile | Alerting | Artificial Intelligence | Azure | Data Engineering | Data Pipelines | Docker | Embeddings | Event Driven | Event-driven architecture | FastAPI | GCP | Hugging Face | Java | Kubernetes | LLM | Langchain | Langgraph | Log Monitoring | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Training | OpenAI | Project Management | Prompt engineering | Python | RAG | RESTful APIs | Risk Management | Secure AI | Secure AI deployment | Vector Database | Vector Search
Education
N/A
Regions
Countries
States
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