Principal Data Scientist
Tasks
- Automate training and deployment
- Build Retrieval Augmented Generation systems
- Coach data scientists and engineers
- Contribute to AI governance
- Create end to end MLOps workflows
- Deploy models and monitor performance
- Design production AI solutions
- Develop generative AI services
- Develop machine learning models
- Develop reusable internal AI services
- Implement model evaluation and fine-tuning
- Improve solutions in live use
- Translate technical opportunities into business value
Perks/Benefits
Skills/Tech-stack
Azure | Computer Vision | Data Science | Databricks | Docker | Embeddings | Fine Tuning | Generative AI | Geospatial Data | Geospatial Data Science | Git | GitHub Actions | Keras | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Terraform
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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