ME00634-Software Engineer 4
Tasks
- Assess model effectiveness with quantitative metrics
- Build agentic workflows
- Conduct experiments with evaluation metrics and datasets
- Design develop deploy AI ML models and tools
- Develop RESTful APIs and backend services
- Develop and optimize SQL queries for relational databases
- Develop full stack applications for AI enabled workflows
- Evaluate alternatives between internal and commercial open source techniques
- Implement retrieval augmented generation with vector search
- Integrate AI ML capabilities into secure cloud data architecture
- Integrate LLM based capabilities into mission systems
- Manage configuration baselines and infrastructure settings
- Monitor model performance and data drift
- Prototype solutions and iterate with user feedback
- Provide knowledge transfer and training for AI ML usage
- Retrain and fine tune models using new data
Perks/Benefits
- Dental insurance
- Group medical plan
- Life insurance
- Medical insurance
- PTO
- Paid Holidays
- STD/LTD Insurance
- Vision insurance
Skills/Tech-stack
API Integration | Access Management | Agentic Workflows | Amazon Web Services | Ansible | Azure | Chef | Cloud Architecture | Command Prompt | Concept drift | Configuration Management | Containers | Data Drift | Embeddings | Fine Tuning | Identity and Access Management | Identity and access | Language Models | Large Language Models | Learning evaluation | Machine Learning | Machine learning evaluation | Model Performance Monitoring | Model performance | Performance Monitoring | Prompt engineering | Puppet | Python | RAG | RESTful APIs | Relational databases | Retrieval-Augmented Generation | SQL | Terraform | Vector Search | Web Services | Windows PowerShell
Education
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