Principal Engineer - AI Platform
USD 150K-237K (estimate) Senior-level Full Time
Tasks
- Automate repetitive tasks
- Build and maintain AI platforms
- Build machine learning and deep learning services
- Deploy machine learning models
- Design database schemas
- Design scalable AI platforms
- Develop data pipelines
- Develop web front ends
- Document platform architecture and workflows
- Ensure AI service reliability
- Implement REST APIs
- Integrate third-party services
- Monitor AI systems
- Optimize code performance
- Provide technical guidance to teams
- Troubleshoot production issues
- Write SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | Agile | Azure | CosmosDB | Data Loss Prevention | Data Pipelines | Data loss | Distributed Systems | Docker | Encryption | Git | GitLab | Graph Databases | Java | Kubernetes | Language Processing | Loss prevention | MLOps | Microservices | Model Deployment | MongoDB | Monitoring | MySQL | NLP | Natural Language | Natural Language Processing | NoSQL | ORM | Object-relational mapping | PII Redaction | PostgreSQL | PyTorch | Python | R | REST APIs | Redis | Relational mapping | SQL | SQL Server | Scikit-learn | Single Page Application | TensorFlow | Vector Databases
Roles
AI | AI Platform Engineer | Engineer | Platform Engineer | Principal | Principal Engineer
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