Senior AI Engineer
Tasks
- Apply authentication role based access and grounded responses
- Build conversational AI assistants for enterprise data
- Create prompt patterns and evaluation harnesses
- Deploy models on Azure using Azure AI services
- Design OCR and LLM document processing pipelines
- Develop PySpark pipelines and Delta Lake workflows
- Implement CI/CD and MLOps practices
- Implement RAG extraction and evaluation
- Manage model registry with MLflow
- Set up batch and real time inference
- Set up monitoring and feedback driven model improvement
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS | AI Services | Active Directory | Anomaly Detection | Azure AI | Azure AI Services | Azure Active Directory | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Key Vault | Azure OpenAI | CI/CD | Classification | Clustering | Code review | Data Lake Storage | Databricks | Delta Lake | Experiment tracking | Git | Information Extraction | Key Vault | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Registry | OCR | Prompt engineering | PySpark | Python | RAG | REST APIs | Similarity Search | Testing
Education
N/A
Roles
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