Lead Inference Platform Support Engineer - AI I
Tasks
- Deploy and scale inference workloads on GPUs
- Develop containerized inference pipelines with Kubernetes
- Ensure AI standards for deployment monitoring governance drift detection
- Implement observability and health monitoring
- Implement routing and failover strategies
- Integrate models into production APIs
- Onboard research models into production
- Optimize LLMs and ML models for inference
- Profile inference performance and optimize compute utilization
- Support capacity forecasting for AI workloads
Perks/Benefits
- Flex My Way
- Headspace app access
- Hybrid work model
- Mental health days
- Paid volunteer days off
- Retirement savings
- Tuition reimbursement
- Work from anywhere up to 8 weeks per year
- Work-life balance
Skills/Tech-stack
ASIC architecture | AWS | Azure | C++ | CI/CD | CUDA | Cloud Native | GPU Architecture | GPU Programming | Google Cloud | High Performance | High-Performance Computing | Knowledge Distillation | Kubernetes | Machine Learning | Machine Learning Compilers | Microservices | Model Compression | OCI | ONNX Runtime | OpenSearch | Performance Computing | Pruning | PyTorch | Python | Quantization | Retrieval-Augmented Generation | TensorFlow | TensorRT
Education
N/A
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