Machine Learning Scientist
Tasks
- Design data extraction and preprocessing
- Develop anomaly detection models
- Develop instance segmentation models
- Develop object detection models
- Develop semantic segmentation models
- Document model architectures and training details
- Monitor model success metrics
- Optimize model robustness and accuracy
- Prototype deep learning models
- Research deep learning architectures
- Transfer knowledge to engineering team
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon SageMaker | Anomaly Detection | Computer Vision | Data Preprocessing | Deep learning | Experiment design | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Instance Segmentation | JAX | Kubeflow | MLflow | Machine Learning | Model Evaluation | Object Detection | Prefect | PyTorch | Python | Self-Supervised Learning | Self-supervised | Semantic Segmentation | Statistical validation | Supervised Learning | Unsupervised Learning | Vertex AI
Education
Regions
Countries
States
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