Sr Software Engineer
Tasks
- Apply data structures and algorithms for large datasets
- Build and maintain data ML pipelines
- Collaborate on architecture coding standards and delivery practices
- Design AI enabled software applications and services
- Develop cloud native services on AWS and Azure
- Establish SDLC practices CI CD automated testing secure coding observability
- Implement APIs and services for AI powered applications
- Lead engineering processes for incident response and reliability
- Optimize performance for data intensive and AI workloads
- Own full software lifecycle requirements design implementation testing deployment support
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Algorithms | Automated testing | Azure | CI/CD | Csharp | Data Pipelines | Data Structures | Docker | Drift Detection | Experiment tracking | GRPC | Incident Response | Java | Kubernetes | MLOps | Machine Learning | Model Registry | Model Serving | Monitoring | Observability | Python | REST | SQL | Secure Coding | TypeScript
Education
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer
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