Senior Data Scientist – AI & Process Manufacturing
Tasks
- Build MLOps pipelines for monitoring and retraining
- Develop end-to-end machine learning models
- Integrate and transform data from on premise and cloud sources
- Monitor models in production
- Plan model retraining cycles
- Prepare train validate and deploy model results
- Visualize data and communicate insights
Perks/Benefits
- Career development
- Flexible hours
- Hybrid work
- International environment
- Team collaboration
- Training programs
Skills/Tech-stack
AWS | AWS Lambda | Amazon RDS | Amazon SageMaker | Data Preparation | Data Visualization | Data cleaning | Decision Trees | Deep learning | Jupyter Notebook | LSTM | MLOps | Machine Learning | Matplotlib | Neural Networks | NumPy | Object-Oriented | Object-oriented programming | Pandas | Python | RNN | Scikit-learn | Seaborn | Time Series
Education
N/A
Roles
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