Senior Data Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Build, test and deploy machine learning models
- Deploy solutions via APIs or data pipelines
- Develop Large Language Model solutions
- Develop and evaluate models using statistical techniques
- Integrate models into applications
- Monitor model performance over time
- Optimize model performance cost and efficiency
- Perform exploratory data analysis
- Run A/B testing
- Translate business problems into data-driven solutions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | APIs | AWS | Apache Airflow | Azure | B testing | Cloud platform | Data Analysis | Data Pipelines | Databricks | Deep learning | Docker | Exploratory Data Analysis | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | Machine Learning | PySpark | Python | Retrieval-Augmented Generation | SQL | Spark | Statistical Analysis
Education
Roles
Regions
Countries
States
Cities
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