Machine Learning (Generative AI)
Tasks
- Build monitoring dashboards
- Collaborate with data scientists and engineers
- Collect metrics and create alerts
- Create model monitoring and pipeline orchestration
- Design and implement training and deployment pipelines
- Develop and maintain scalable ML pipelines
- Develop technical documentation
- Implement unit and performance tests
- Perform feasibility studies and analysis
- Troubleshoot data and application issues
Perks/Benefits
Skills/Tech-stack
Agile | Azure Machine Learning | CI/CD | Computer Vision | Confluence | Decision Trees | Docker | Experiment tracking | Git | GitHub Actions | Grafana | Jira | Kanban | Kubernetes | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | ONNX | Object-Oriented | Object-oriented programming | Pipeline Orchestration | PyTorch | Python | Scrum | TensorFlow | Unit Testing
Education
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