Data Scientist
Tasks
- Build predictive maintenance models
- Build real-time monitoring dashboards
- Deploy and monitor model performance
- Design time series anomaly detection models
- Implement batch processing parallel processing
- Implement model deployment monitoring and rollback
- Optimize database queries and indexes
- Optimize production inference latency
- Scale machine learning systems
- Track service level objectives
Perks/Benefits
- Engineering excellence culture
- Equity
- Flexible work hours
- Health insurance
- Low ego team culture
- Ownership culture
- Remote-first work culture
Skills/Tech-stack
AWS Lambda | Amazon CloudWatch | Amazon ElastiCache | Amazon S3 | Anomaly Detection | Docker | Flask | Grafana | Keras | Language Models | Language Processing | Large Language Models | MLOps | MongoDB | Natural Language | Natural Language Processing | NumPy | Pandas | Prometheus | Prompt engineering | PyTorch | Python | Redis | SQL | Scikit-learn | Statistical modeling | TensorFlow | Time Series
Education
Roles
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