Software Engineer - Applied AI/ML
USD 176K-332K Senior-level Full Time
Tasks
- Assess data patterns and network misconfiguration
- Build secure cloud data architecture with AI ML interoperability APIs
- Collaborate with engineers and stakeholders to define requirements and validate outputs
- Conduct analyses of alternatives and experiments with evaluation metrics
- Design train and deploy AI ML models for data mining predictive modeling and knowledge discovery
- Develop full stack AI applications and services
- Develop tutorials and best practices for AI ML usage
- Ensure AI ML workflows comply with cybersecurity data privacy and access control requirements
- Improve LLMs for vulnerability information triage
- Integrate LLMs with RAG and agentic workflows
- Monitor model performance drift and metrics
- Prototype solutions and iterate based on user feedback
- Retrain and fine tune models with new data
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Management | Agentic Workflows | Ansible | Chef | Cloud Architecture | Command Line | Command-line Interface | Configuration Management | Containers | Data Drift | Database security | Docker | Embeddings | Fine Tuning | Identity and Access Management | Identity and access | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Prompt engineering | Puppet | Python | RAG | RESTful APIs | Relational databases | Retrieval-Augmented Generation | SQL | Terraform | Vector Search | Windows PowerShell
Education
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