Data Scientist
Tasks
- Build predictive machine learning models
- Communicate analytical insights to stakeholders
- Develop multi agent AI systems for manufacturing workflows
- Develop production data and model pipelines
- Implement retrieval-augmented generation pipelines
- Integrate AI assisted tools into daily work
- Optimize model performance latency and token efficiency
- Test deploy and monitor predictive analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Azure | Classification | Cloud platform | Data Visualization | Docker | ETL | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Power BI | Python | Regression | Retrieval-Augmented Generation | SQL | Statistics | Streamlit | Supervised Learning | Tableau | Time Series | Token optimization | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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