Data Scientist
Tasks
- Apply responsible AI practices
- Build ML training pipelines
- Build feature stores
- Continuously retrain models
- Define ML objectives and evaluation plans
- Deploy production machine learning models
- Design machine learning models
- Ensure model observability
- Ensure reproducibility
- Implement CI/CD for models
- Implement model monitoring
- Implement online inference services
- Improve testing practices
- Lead ML initiatives
- Maintain model registries
- Perform code review
- Train machine learning models
Perks/Benefits
- Flexible hours
- Learning and conference budget
- Pension contribution
- Private healthcare
- Remote-first work
- Research time
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Computer Vision | Containerization | Continuous Retraining | DBT | Experimentation | Feature Engineering | GCP | JAX | Kubeflow | LLM | MLflow | Model Monitoring | NLP | Offline Inference | Online Inference | PyTorch | Python | Ray | Recommender Systems | TensorFlow
Education
N/A
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