Senior AI Engineer
Tasks
- Build OCR and LLM pipelines
- Build PySpark data pipelines
- Deploy AI services on Azure
- Develop copilot style assistants
- Establish MLOps practices
- Evaluate and improve LLM prompts
- Extract classify and validate document information
- Implement RAG and extraction for enterprise data
- Implement batch and real-time inference
- Manage Delta Lake data workflows
- Set up CI CD for model releases
- Set up monitoring for AI deployments
- Track experiments and register models with MLflow
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Access Management | Anomaly Detection | Azure | Azure AI | Azure AI Services | 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 | Evaluation | Git | Identity and Access Management | Identity and access | Information Extraction | Key Vault | LLM | MLflow | Machine Learning | Model Registry | Prompt engineering | PySpark | Python | RAG | REST APIs | Similarity Search | Testing
Education
N/A
Roles
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