Software Engineer AI/ML
Tasks
- Apply responsible AI bias detection
- Build AI model monitoring and observability
- Build intelligent automation systems
- Create forecasting and anomaly detection systems
- Create vector database architectures
- Deploy models to AWS
- Design LLM applications
- Design data pipelines with Databricks
- Develop AI/ML products
- Develop REST APIs for model serving
- Establish MLOps experiment tracking
- Implement automated evaluation pipelines
- Implement retrieval-augmented generation
- Provide explainability with SHAP and LIME
- Run A B testing for model improvement
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Automated testing | B testing | C# | CI/CD | Classification | Data Drift | Data drift monitoring | Databricks | Drift monitoring | Experiment tracking | FastAPI | Flask | GitHub | Java | LIME | LLM | MLOps | MLflow | Model Evaluation | Model Monitoring | Model versioning | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | SHAP | Series forecasting | Time Series | Time Series Forecasting | TypeScript | Vector Databases | Weights and Biases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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