M03 - Data Scientist (AI)
Tasks
- Build AI model serving infrastructure and API endpoints
- Build automated data pipelines for training and inference
- Build proof of concepts for AI models
- Conduct technical evaluation of AI technologies
- Develop scalable code for data movement between systems and models
- Document findings and make AI adoption recommendations
- Ensure secure connectivity between systems and AI platforms
- Implement MLOps for deployment and monitoring
- Implement security protocols for AI data and model deployment
- Manage cloud environments for AI workloads
- Perform system monitoring and optimization
- Stress test AI vendor APIs and model endpoints
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Bias detection | Cloud platform | Data Pipelines | Docker | ETL | Google Cloud | Google Cloud Platform | Kubernetes | MLOps | Machine Learning | Model Deployment | Model Interpretability | Model Monitoring | PyTorch | Python | Scikit-learn | TensorFlow
Education
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