SDE III - MLOps
Tasks
- Build event-driven processing systems
- Collaborate with cross-functional distributed teams
- Design CI CD pipelines for ML models
- Develop scalable ML model serving infrastructure
- Evaluate and adopt new ML infrastructure tools and technologies
- Implement RESTful API services for model serving
- Implement cost efficient serverless solutions
- Manage ML model lifecycle assets
- Optimize ML inference performance
- Use containerization and orchestration for deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | AWS Neuron | Amazon SNS | Amazon SQS | CI/CD | Docker | Event Driven | Event-driven architecture | Kubernetes | MLflow | NVIDIA TensorRT | ONNX | PyTorch | Python | REST APIs | TensorRT | Weights and Biases
Education
N/A
Roles
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