Software Engineer
Tasks
- Build LLM-based systems
- Create data pipelines and ETL workflows
- Deploy models using MLOps practices
- Design AI-native systems
- Develop AI-driven workflows
- Document system design and model behavior
- Follow security compliance and responsible AI best practices
- Implement rag pipelines
- Integrate AI capabilities into services APIs and applications
- Measure AI readiness using telemetry
- Monitor model performance and reliability
- Participate in design discussions and code reviews
- Prepare training datasets
- Set up CI CD for model deployment
- Troubleshoot data quality issues
- Write clean maintainable tested code
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Azure | C plus plus | C# | CI/CD | Data Pipelines | Data Quality | Data quality monitoring | Docker | ETL | Java | JavaScript | Language Models | Large Language Models | MLOps | Machine Learning | Model versioning | Python | Quality monitoring | RAG | Telemetry | Training Datasets | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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