Consumer Behavior Modeler II
Tasks
- Analyze and sanitize large volumes of data
- Build multivariate statistical models
- Containerize and deploy models
- Create technical plans from non technical requirements
- Develop LLM based solutions for data analysis
- Develop Python code with clear documentation
- Develop and deploy FastAPI services
- Develop tools using internal data sources
- Leverage GenAI models to enable stakeholder insights
- Monitor deployed models
- Prototype models for productionization
- Research and evaluate new models and methods
- Structure and communicate information to senior leaders
- Understand work stream purpose and key business aspects
- Write logically developed documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Agent Orchestration | Agent systems | Artificial Intelligence | Cloud Computing | Containerization | Data Analysis | Data Mining | Distributed Systems | Embeddings | FastAPI | Generative AI | Hadoop | LLM | Langchain | Langgraph | Language Processing | Linux | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multi-agent orchestration | Natural Language | Natural Language Processing | OpenAI Compatible API | Prompt engineering | Python | Risk Modeling | SQL | Shell Scripting | Starburst | Statistical modeling | Technical documentation | Teradata | Triton | Unix | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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