Lead Data Scientist
Tasks
- Build scalable data pipelines with data engineers
- Deploy models using CI/CD and MLOps
- Design NLP LLM and computer vision solutions
- Develop machine learning and deep learning models
- Ensure responsible AI governance and explainability
- Implement full model lifecycle
- Lead data science team
- Monitor model performance and retrain models
- Present insights to technical and non-technical stakeholders
- Translate business problems into analytical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | Cloud platform | Computer Vision | Databricks | Docker | Feature Engineering | Google Cloud | Google Cloud Platform | Hadoop | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Model Deployment | Model Monitoring | Model Tuning | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | Recommendation Systems | Retraining | SQL | Scikit-learn | TensorFlow
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
Cities
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