Senior Data Scientist / AI Machine Learning Research Engineer
Tasks
- Apply statistics linear algebra calculus
- Build containerization and orchestration
- Build data warehousing solutions
- Deploy machine learning solutions to cloud
- Design data pipelines ETL
- Develop machine learning algorithms
- Develop models using Python and SQL
- Enable reproducible research
- Implement CI/CD for model deployment
- Implement ML governance practices
- Manage datasets and models with version control
- Optimize large scale data processing workflows
- Track experiments and monitor models
- Train and evaluate ML models
- Use Spark and Airflow for data engineering
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | CI/CD | Calculus | Data Warehousing | Data pipeline | Docker | ETL | Experiment tracking | GCP | Kubernetes | Linear Algebra | Linux | Machine Learning | Model Governance | Model Monitoring | PyTorch | Python | SQL | Scikit-learn | Signal Processing | Statistics | TensorFlow | Version control
Education
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