Senior Machine Learning Data Scientist (Freelance kan)
Tasks
- Automate model development process
- Coach colleagues on framework use
- Conduct exploratory data analysis
- Design machine learning framework
- Develop compare tune predictive models
- Document processes and methodologies
- Ensure model reproducibility
- Identify assess validate data sources
- Implement model development pipelines
- Manage model version control
- Monitor model performance
- Perform data analysis and data preparation
- Perform feature engineering
- Prepare infrastructure for cloud migration
- Preprocess data
- Present analyses to business stakeholders
- Retrain models with feedback
- Select evaluate machine learning algorithms
- Set up logging and monitoring
- Train validate deploy machine learning models
- Translate business needs into technical solutions
- Visualize report and share results
Perks/Benefits
- Additional education and certifications
- Career plan
- Company car or alternative compensation
- Growing company
- Supportive team
- Telework
- Training budget
Skills/Tech-stack
Azure ML | Azure ML SDK | Azure Machine Learning | Data Analysis | Exploratory Data Analysis | Feature Engineering | Jupyter Notebook | KNIME | Logging | ML SDK | Machine Learning | Microsoft Azure | Microsoft Azure Machine Learning | Microsoft DevOps | Microsoft Fabric | Model Deployment | Model Training | Model Validation | Monitoring | Oracle | Python | SQL | Version control
Education
N/A
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