Data Scientist
Tasks
- Build end-to-end ML workflows
- Conduct applied research on Generative AI
- Deploy and monitor models using MLOps
- Design machine learning models
- Develop fine tune evaluate large language models
- Implement CI/CD for ML
- Implement machine learning pipelines
- Integrate AI ML solutions into platform
- Manage data pipelines in cloud
- Monitor models in production
- Optimize machine learning models
- Perform feature engineering
- Run large scale training jobs
- Train validate deploy models
- Use Docker for reproducible experimentation
- Use Kubernetes for orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Data Pipelines | Deep learning | Distributed Systems | Docker | Feature Engineering | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | PyTorch | Python | TensorFlow
Education
N/A
Regions
Countries
States
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