Data Scientist
Tasks
- Build data pipelines for data lakes and data warehouses
- Collaborate with cross-functional teams
- Communicate AI results to non technical stakeholders
- Deploy AI models in production
- Design API architecture components
- Design and integrate AI driven business solutions
- Develop generative AI solutions
- Develop predictive AI models
- Implement authentication and error handling
- Monitor model performance
- Troubleshoot models and pipelines
Perks/Benefits
Skills/Tech-stack
API Development | API documentation | AWS | AWS ECS | AWS EKS | AWS Fargate | Authentication | Azure | Azure DevOps | CI/CD | CloudFormation | CodeDeploy | Data Filtering | Data Pipelines | Databricks | Debugging | Docker | Error Handling | GCP | Graph Databases | HTTP | JSON | JSON REST | Langchain | MLOps | Model Drift | Model Monitoring | Neo4j | PySpark | PyTorch | Python | RAG | REST | Rate Limiting | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Tokens
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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