AI Scientist
Tasks
- Benchmark model performance
- Build classification systems
- Build machine learning pipelines
- Deploy machine learning models
- Design machine learning models
- Develop machine learning models
- Develop predictive models
- Evaluate model performance
- Extract insights from clinical data
- Integrate models into production ETL pipelines
- Monitor model performance
- Operationalize models with MLOps
- Optimize distributed data pipelines
- Perform entity resolution
- Present results to stakeholders
- Process NLP tasks
- Retrain models
- Version model workflows
Perks/Benefits
- Business resource groups
- Charitable donation stipend
- Flexible work hours
- Health stipend
- Paid time off
- Remote work
- Retirement options
- Wellness holidays
- Work from anywhere
Skills/Tech-stack
Apache Spark | Azure | Databricks | Deep learning | Delta Lake | ETL | Entity Resolution | Entity recognition | Information Extraction | Kubernetes | Language Processing | MLOps | Machine Learning | Model Monitoring | Model retraining | Model versioning | Named Entity Recognition | Natural Language | Natural Language Processing | PySpark | PyTorch | Python | R | SQL | TensorFlow | Text Classification | Transformers
Education
N/A
Roles
AI | AI Scientist | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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