Analytics-Full stack Engineer -Manager
Tasks
- Analyze model errors and design mitigation strategies
- Architect frontend apps integrated with cloud services
- Deploy machine learning models to production
- Design and develop machine learning algorithms
- Develop risk monitoring dashboards and early warning indicators
- Explore and visualize data for model performance
- Find and use datasets for training
- Implement design and development methodologies
- Integrate explainability and model validation into solutions
- Lead end-to-end solution delivery
- Manage resources to meet deadlines
- Optimize application performance responsiveness and accessibility
- Prepare and analyze historical data patterns
- Provide technical support for program management and proposals
- Supervise data acquisition
- Train models and tune hyperparameters
- Translate risk and compliance requirements into AI solutions
- Verify data quality and perform data cleaning
Perks/Benefits
Skills/Tech-stack
.NET | AI | API Management | Angular | App Services | Audit trails | Azure | Azure AD | Azure App | Azure App Services | Azure Bot | Azure Bot Framework | Azure CDN | Azure Front | Azure Front Door | Azure Functions | Azure Service | Azure Service Bus | Azure Static Web Apps | Azure Web | Azure Web Apps | Bot Framework | C# | CI/CD | Cognitive Services | Data Quality | Data cleaning | Data integration | DevOps | Explainability | Front Door | Hyperparameter Tuning | JavaScript | Machine Learning | Message Queues | Microservices | Model Validation | NLG | NLP | OAuth2 | OIDC | OpenAI | Python | React | Serverless | Service Bus | Service Fabric | Static Web Apps | TypeScript | Vision Services | Web API | Web Apps
Education
N/A
Roles
Developer | Engineer | Frontend | Frontend Developer | Full Stack | Full Stack Engineer | Stack Engineer
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