Principal Software Engineer, Applied AI (Forward Deployed)
Tasks
- Build backend systems for ML
- Collaborate with data scientists and researchers
- Deploy ML models to production
- Design retrieval-augmented generation pipelines
- Develop AI agent systems
- Develop AI solutions for client product development
- Implement MLOps workflows
- Integrate ML technologies across platforms
- Manage ML data processing pipelines
- Monitor model performance
- Operate and optimize cloud infrastructure
- Participate in R and D for new AI tools
- Partner with clients on use case discovery
- Version and lifecycle manage models
- Write unit tests and end-to-end tests
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Cloud platform | Data Processing | Data Processing Pipelines | Docker | End to End | End-to-End Testing | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Microsoft Azure | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model versioning | NoSQL | Processing pipelines | Python | Retrieval-Augmented Generation | SQL | Unit Testing
Education
N/A
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