Data Scientist Manager
Tasks
- Collaborate with cross functional engineering data and business teams
- Design develop deploy and scale enterprise AI and machine learning solutions
- Drive adoption of AI solutions through executive communication
- Ensure responsible AI regulatory compliance and security
- Establish AI machine learning and LLM governance standards
- Implement MLOps and LLMOps monitoring and reliability frameworks
- Lead and manage data science and AI team
- Own end-to-end AI product lifecycle
- Provide AI solution architecture and model selection guidance
- Stay current on emerging AI technologies and evaluate opportunities
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent systems | Agentic AI | Agile | Artificial Intelligence | Causal Inference | Classification | Cloud platform | Confluence | Experimentation | Forecasting | Generative AI | Google Cloud | Google Cloud Platform | Jira | LLMOps | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Optimization | Orchestration | Predictive Modeling | Prompt engineering | Python | Recommendation Systems | Regression | Retrieval-Augmented Generation | Scrum | Snowflake | Statistical Analysis | Vector Databases
Education
Roles
Data Scientist | Data Scientist Manager | Manager | Scientist Manager
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