Manager, Data Science & Research
Tasks
- Apply large language models and embeddings
- Build multimodal pipelines
- Collaborate with ML engineering and product
- Create labeling strategy
- Design active learning
- Design computer vision models
- Design natural language processing models
- Develop content classification systems
- Implement auto labeling
- Implement data curation automation
- Improve model precision and recall
- Lead data science team
- Mentor data scientists
- Optimize for cost latency and scale
- Own model lifecycle from data to deployment
Perks/Benefits
Skills/Tech-stack
Active Learning | Auto-labeling | Automl | Computer Vision | Cost Optimization | Data Curation | Data labeling | Deep learning | Embeddings | Foundation Models | Huggingface | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | OpenCV | Production Machine Learning | PyTorch | Retraining | Scikit-learn | TensorFlow
Education
N/A
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