AI Engineering
Tasks
- Apply MLOps best practices for AI workflows
- Build agentic frameworks
- Collaborate across teams on ML and AI methodologies
- Design, develop, and deploy AI solutions
- Develop LLM applications with prompt engineering
- Implement retrieval-augmented generation and fine-tuning
- Integrate AI solutions with end to end software engineering
- Monitor and trace AI application performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Application Insights | Azure AI | Azure AI Foundry | Azure Cognitive | Azure Cognitive Services | Azure Databricks | Azure DevOps | Azure Machine Learning | Azure Monitor | CI/CD | Cognitive Services | CrewAI | Docker | FastAPI | Flask | Git | Kubernetes | LLM | LLMOps | Langchain | MLOps | MLflow | Machine Learning | Microsoft Fabric | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | TensorFlow | Terraform
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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