Machine Learning Software Engineer II
Tasks
- Apply inference optimization techniques
- Architect and deploy ML solutions on AWS
- Build serverless event driven inference pipelines
- Collaborate with researchers on system design
- Conduct testing, debugging, and documentation
- Convert models to ONNX
- Design and evaluate machine learning algorithms
- Ensure secure reproducible ML deployments
- Implement CI/CD pipelines
- Implement high throughput low latency inference
- Lead full lifecycle ML development
- Optimize PyTorch models for production deployment
- Write test driven production code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS ECS | AWS Lambda | CD pipelines | CI/CD | CI/CD pipelines | Concept drift | Data Drift | Docker | Docker containers | Event Driven | Event-driven architecture | Flash Attention | Model Monitoring | NoSQL Databases | ONNX | ONNX Runtime | Pruning | PyTorch | Python | Quantization | Relational databases | Scikit-learn | TensorFlow | Terraform
Education
N/A
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