Senior AI Engineer – Azure (Enterprise AI & Secure Systems) | W2 Only (No OPT's please) |
Tasks
- Apply responsible AI practices for privacy bias mitigation and auditability
- Build integrate AI powered applications copilots and widgets
- Collaborate with infrastructure teams for scalability and performance
- Design develop and deploy AI ML solutions using Azure
- Develop APIs and microservices for AI model integration
- Ensure AI solutions comply with security governance and regulatory standards
- Establish MLOps pipelines for CI CD monitoring and retraining
- Implement secure AI architectures for data protection identity and access control
- Optimize model performance cost and latency in production
- Provide technical leadership and mentor junior engineers
Perks/Benefits
Skills/Tech-stack
AI Studio | API Development | Access Management | Azure AI | Azure AI Studio | Azure Cognitive | Azure Cognitive Services | Azure DevOps | Azure Machine Learning | Azure OpenAI | CI/CD | Cognitive Services | Distributed Systems | Docker | Encryption | FastAPI | Flask | GitHub Actions | Identity and Access Management | Identity and access | Kubernetes | MLOps | Machine Learning | Microservices | Microsoft Azure | NoSQL | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Secure Coding | Zero Trust
Education
N/A
Roles
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