Machine Learning Scientist - Staff level
Tasks
- Collaborate across teams
- Collaborate on ML solutions
- Conduct data analysis and feature engineering
- Contribute to ML architecture
- Design machine learning models
- Develop scalable ML pipelines
- Evaluate model performance
- Improve model accuracy latency and fairness
- Manage end-to-end ML lifecycle
- Mentor junior scientists
- Produce technical documentation
- Provide technical leadership
- Stay updated with research
- Support production models
- Translate business problems into ML formulations
Perks/Benefits
Skills/Tech-stack
Algorithms | Anomaly Detection | Artificial Intelligence | Data Analysis | Data Engineering | Data Processing | Data Structures | Deep learning | Feature Engineering | Graph-Based Models | Graph-based | Large Scale Data | Large-scale Data Processing | Linear Algebra | Machine Learning | Model Deployment | Model Evaluation | Monitoring | NumPy | Optimization | Pandas | Probability | PyTorch | Python | Scikit-learn | Semi-Supervised Learning | Semi-supervised | Statistics | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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