AI Software Engineer
Tasks
- Add monitoring and auditability for AI applications
- Automate classification and tagging
- Build data profiling solutions
- Build recommendation engines for data remediation
- Build retrieval augmented generation RAG pipelines
- Build scalable machine learning solutions
- Create intelligent remediation automation
- Deploy AI models
- Design AI powered applications
- Design anomaly detection models
- Develop AI powered microservices
- Develop LLM-powered solutions
- Develop remediation workflows
- Develop reusable AI frameworks APIs and services
- Ensure sovereign AI security controls
- Evaluate and improve model accuracy
- Implement AI privacy governance and compliance
- Implement duplicate detection and entity matching
- Implement metadata enrichment capabilities
- Implement prompt engineering
- Integrate generative AI into enterprise applications
- Maintain technical documentation
- Optimize AI models for performance scalability and reliability
- Orchestrate AI workflows
- Perform code reviews and testing
- Suggest and optimize data quality rules
- Support deployment and production operations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Foundry | Anomaly Detection | Azure AI | Azure AI Foundry | Azure Databricks | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | C# | CI/CD | Containerization | Data Engineering | Data Governance | Data Quality | Data profiling | DevOps | Docker | ELT | ETL | Git | Java | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Metadata Management | Microservices | Microsoft Azure | Natural Language | Natural Language Processing | NoSQL | Node.js | OpenAI APIs | OpenAI Service | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Text Analytics | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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