AI/ML Engineer_MS
Tasks
- Build ETL/ELT pipelines
- Build ML and GenAI solutions
- Build end-to-end ML pipelines
- Create BI dashboards and insights
- Deploy models and monitor performance
- Design RAG pipelines
- Develop API based AI applications
- Ensure scalable secure cost optimized deployments
- Implement MLOps workflows
- Integrate LLM based applications
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | AWS Bedrock | Amazon QuickSight | App Service | Azure AI | Azure AI Foundry | Azure AI Search | Azure App | Azure App Service | Azure Bot | Azure Bot Service | Azure Data | Azure Data Factory | Azure Document Intelligence | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | BigQuery | Blob Storage | CI/CD | Cloud Run | Cloud Storage | Data Factory | Databricks | Dialogflow | Docker | Document AI | Document Intelligence | ELT | ETL | Embeddings | FastAPI | Flask | Google ADK | Guardrails | JavaScript | Langchain | Langgraph | Looker | Model Evaluation | Plotly Dash | Power BI | Prompt engineering | Python | RAG | SQL | Synapse Analytics | Tableau | ThoughtSpot | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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