Consultant Data Scientist/AI Engineer
Tasks
- Build ML monitoring tools
- Build data apps with dashboards
- Build data pipelines
- Communicate project progress
- Conduct R and D
- Develop AI automation agents
- Develop RAG solutions
- Develop deep learning models
- Develop internal tools and libraries
- Develop machine learning models
- Expose data for use cases
- Frame data collection
- Implement agentic AI systems
- Ingest source data
- Integrate LLM orchestrators
- Maintain AI platform
- Perform data analysis
- Preprocess and transform data
- Present results to business stakeholders
- Process data
- Research new technologies
- Share knowledge with team and clients
- Visualize data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure | Cloud infrastructure | Cloud platform | Dash | Data Ingestion | Data Lake | Data Pipelines | Data Preprocessing | Data Transformation | Data Visualization | Data Warehouse | Deep learning | Dify | Django | Docker | FastAPI | Flask | Git | Google Cloud | Google Cloud Platform | LLM | Langchain | Langgraph | Machine Learning | N8n | Python | RAG | SQL | Streamlit
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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