Sr Software Engineer
Tasks
- Build data and ML pipelines for simulation and engineering data
- Collaborate with stakeholders to translate requirements into delivery plans
- Design and build AI enabled software platforms
- Develop and maintain APIs and AI services
- Develop cloud native services on AWS and Azure
- Drive CI CD and automated testing practices
- Implement MLOps for training reproducibility and model lifecycle management
- Improve observability incident response and reliability
- Optimize performance for data intensive and AI workloads
- Own full software lifecycle requirements analysis solution design implementation testing deployment operational support
Perks/Benefits
- Disability insurance
- Employee assistance program
- Life insurance
- Paid parental leave
- Paid time off
- Retirement Plan (401k) Matching
- Tuition assistance
Skills/Tech-stack
APIs | AWS | Algorithms | Automated testing | Azure | C# | CI/CD | Data Modeling | Data Pipelines | Data Structures | Experiment tracking | Feature Store | GRPC | Incident Response | Java | Linux | MLOps | Machine Learning | Model Registry | Observability | Optimization | Python | REST | Secure Coding | Surrogate modeling | Time Series | TypeScript | Unix
Education
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer
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