AI/ML Architect
Tasks
- Build anomaly detection prototypes
- Create machine learning pipelines
- Deploy machine learning models
- Design AI/ML pilots
- Design experiments for model evaluation
- Develop personalization and content classification algorithms
- Document model assumptions and validation reports
- Ensure governance accuracy explainability bias mitigation and security compliance
- Evaluate AI/ML frameworks and tools
- Identify model inputs and risk indicators
- Operationalize ML insights into dashboards
- Preprocess and engineer features
- Recommend model optimization opportunities
- Run data exploration and hypothesis testing
- Train and validate models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | Azure ML | Behavioral analytics | Cloud Machine Learning | Cybersecurity Analytics | Data Transformation | Feature Engineering | IT Operations | IT Operations Analytics | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Validation | Operations analytics | Predictive Analytics | PyTorch | Python | R | Retrieval-Augmented Generation | Scikit-learn | Statistical modeling | TensorFlow | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Architect | Architect | Engineer | Learning Engineer | ML Architect | Machine Learning Engineer
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