AI Principal Engineer, VP
Tasks
- Build LLM and machine learning data processing pipelines
- Collaborate with feature teams to deliver high-quality software
- Define and enforce ML Ops and engineering standards
- Define end to end automation strategies
- Design and engineer complex software, scripts, and tools
- Design and engineer secure robust software
- Determine platform software design and delivery approaches
- Develop architecture models and roadmaps
- Implement model deployment experiment tracking and observability
- Provide architecture governance and oversight
Perks/Benefits
- N/A
Skills/Tech-stack
API | API Integration | AWS | Agile | Automation | Automl | CI/CD | Deep learning | DevOps | Docker | Embeddings | Experiment tracking | Feature Engineering | Feature Store | GCP | GPU Computing | Git | LLM orchestration | MLOps | Machine Learning | Model Deployment | Model Evaluation | Observability | Optimization | Performance Tuning | Prompt engineering | Python | RAG | Retraining | Retrieval-Augmented Generation | Scalability | Security | Series forecasting | Time Series | Time Series Forecasting | Virtualization
Education
N/A
Roles
AI | AI Principal | AI Principal Engineer | Engineer | Principal | Principal Engineer
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