AI Technical Lead
Tasks
- Communicate delivery status decisions and risks
- Coordinate cross functional dependencies and remove blockers
- Define done production readiness criteria
- Enforce testing standards for AI ML pipelines
- Implement MLOps experiment tracking and model versioning
- Lead debugging and root cause analysis
- Maintain operational runbooks and deployment guides
- Own end-to-end delivery of AI solutions
- Pair on hard problems and review designs
- Provide technical escalation for engineers
- Set up monitoring and alerting for production systems
- Track delivery progress and manage risks
- Translate solution designs into engineering plans
- Write production quality code for complex components
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Access Control | Access Management | Alerting | Authentication | Authorization | CI/CD | Cloud Governance | Cloud Security | Data Pipelines | End to End | End-to-End Testing | Experiment tracking | Identity and Access Management | Identity and access | Integration Testing | JAX | Java | Logging | MLOps | Machine Learning | Metrics | Model Serving | Model versioning | Network Security | Observability | PyTorch | Python | R | Role-Based Access | Role-Based Access Control | Secret management | Service Identity | TensorFlow | Tracing | Unit Testing
Education
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