Senior AI Machine Learning Engineer
Tasks
- Apply machine learning to unstructured data using computer vision
- Build and deploy machine learning pipelines
- Collaborate with technical experts to apply ML for business insights
- Design software architecture and components
- Develop APIs for machine learning models
- Ensure security scalability and high availability for deployments
- Implement MLOps frameworks
- Implement data engineering and transformation workflows
- Implement machine learning training and inference
- Manage model lifecycle monitoring and automation
- Optimize models with hyperparameter tuning
- Orchestrate large scale ML and DL jobs
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Algorithms | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Machine Learning | Big Data | CI/CD | Cognitive Services | Computer Vision | Concurrency | Containerization | Continuous Delivery | Continuous integration | Data Factory | Databricks | Deep learning | Distributed Training | Docker | Functional Programming | High Availability | Hyperparameter Tuning | Kubernetes | Linear Algebra | MLOps | MLflow | Machine Learning | Model Monitoring | Object-Oriented | Object-oriented design | Probability | Python | Scalability | Security | Statistics | Testing | Version control
Education
N/A
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