Senior Data Scientist
Tasks
- Apply MLOps and automate model lifecycle
- Build and optimize statistical models and forecasting
- Communicate insights to technical and non-technical stakeholders
- Deploy AI and machine learning models to production
- Develop AI and machine learning solutions
- Develop machine learning models with feature engineering and evaluation
- Evaluate and integrate large language models and generative AI
- Explore, clean, and transform large datasets
- Implement and deploy models using Azure Machine Learning
- Monitor model performance and optimize results
- Perform root cause analysis and drive corrective actions
- Research emerging AI and cloud technologies
- Translate business problems into data driven initiatives
- Write maintainable Python code and participate in code reviews
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Automation | Azure Data | Azure Data Studio | Azure Machine Learning | CI/CD | Classification | Clustering | Data Studio | Data Wrangling | Feature Engineering | Forecasting | Generative AI | Hypothesis Testing | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Probability modeling | Python | Regression Analysis | SQL | Statistical modeling
Education
Roles
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