AI Engineers + Platform Architect - EY GDS
CABA, B, AR, 1001
USD 134K-196K (estimate) Senior-level Full Time
Tasks
- Build and deploy AI ML and LLM solutions
- Build end-to-end machine learning pipelines
- Collaborate with cross-functional teams
- Contribute to architecture discussions
- Design AI ML and LLM solutions
- Design AI agents
- Develop retrieval-augmented generation systems
- Evaluate RAG quality and hallucination mitigation
- Fine-tune LLMs
- Implement CI CD delivery pipelines
- Implement vector search
- Improve AI delivery processes and tooling
- Maintain engineering best practices
- Monitor latency cost and failures
- Participate in code reviews
Perks/Benefits
Skills/Tech-stack
AI Search | AKS | API Design | API Management | Autogen | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure OpenAI | Bicep | CI/CD | Clean Code | Container Apps | Databricks | DeepEval | Delta Lake | Design Patterns | Docker | Faiss | FastAPI | Feature Store | GitHub Actions | Grounding | Hallucination mitigation | Kubernetes | Kubernetes Service | Langchain | Langgraph | Llamaindex | LoRA | MLflow | Machine Learning | Microservices | Model Evaluation | Python | QLoRA | RAG | Ragas | SQL | Scikit-learn | Telemetry | Terraform | Testing | Tracing | TruLens | Unity Catalog | Vector Search
Education
N/A
Roles
AI Engineer | Architect | Engineer | Platform | Platform Architect | Senior AI Engineer
Regions
Countries
States
Language: en
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