AL/ML Engineer
Tasks
- Apply MLOps practices for continuous integration and deployment
- Build machine learning training and deployment infrastructure
- Create reusable AI ML components and libraries
- Develop APIs for AI ML systems
- Develop model serving platforms
- Implement automated machine learning pipelines
- Optimize AI ML algorithms for performance and scalability
- Troubleshoot AI/ML system issues
- Version models and datasets and build testing frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Airflow | Apache Spark | CI/CD | Calculus | Data Versioning | Databricks | Docker | Feature Stores | Kubeflow | Kubernetes | LIME | Linear Algebra | MLOps | MLflow | Machine Learning | Model Evaluation | Model Serving | Numerical computing | ONNX Runtime | Python | SHAP | SageMaker | TensorFlow Serving | Torchserve
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
Cities
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