Senior Data Scientist / Machine Learning Engineer
Tasks
- Build model APIs
- Conduct cross validation
- Create data visualizations
- Deploy and integrate models into production
- Develop and deploy machine learning models
- Evaluate model performance
- Generate insights for stakeholders
- Implement data wrangling
- Maintain and optimize machine learning workflows
- Monitor model performance
- Perform exploratory data analysis
- Perform hyperparameter optimization
- Stay current with machine learning research and trends
- Train and fine-tune machine learning models
- Translate business questions into analytical problems
- Use ensemble methods
Perks/Benefits
- Collaborative workplace
- Comprehensive benefits
- Meaningful projects
- Safe space for diverse perspectives
Skills/Tech-stack
APIs | Cross-validation | Data Analysis | Data Visualization | Data Wrangling | DevSecOps | Docker | Ensemble Methods | Exploratory Data Analysis | Hyperparameter Optimization | Kubernetes | MS Access | Microservices Architecture | Power BI | PyTorch | Python | Qlik Sense | R | SAS | SQL | SharePoint | TensorFlow
Education
N/A
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