Lead Data Scientist
Tasks
- Build and deploy machine learning models
- Design machine learning solution
- Develop production-grade ML systems
- Evaluate and integrate ML tools and frameworks
- Improve ML engineering best practices
- Lead end-to-end client engagements
- Manage ML experimentation and lifecycle
- Manage and mentor data science teams
- Serve as primary technical point-of-contact
Perks/Benefits
- Dental insurance
- Flexible sick leave
- Flexible vacation
- Health insurance
- Home-office equipment
- Mentorship
- Remote work support
- Team events
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Agent-based | Agent-based systems | Amazon SageMaker | Azure ML | Cloud Machine Learning | Computer Vision | Docker | Experimentation | Google Vertex | Google Vertex AI | Hugging Face | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Machine learning lifecycle | Model Deployment | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Python | SQL | Scikit-learn | Vertex AI | Weights and Biases
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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