EY - GDS Consulting - AIA - AI Data Engineer- Senior
INR 2000K-3500K (estimate) Senior-level Full Time
Tasks
- Build AI system observability and monitoring
- Build multi-agent orchestration systems
- Containerize AI services with Docker and Kubernetes
- Create prompt engineering and model evaluation workflows
- Deploy and manage AI workloads on Azure AWS and GCP
- Design AI driven agentic data pipelines
- Develop GenAI and agentic AI applications
- Develop vector database and knowledge graph retrieval
- Implement MLOps for ML deployments
- Implement retrieval-augmented generation pipelines
- Mentor team members on AI and ML best practices
- Present architecture and results to technical and business stakeholders
- Set up CI CD for ML
Perks/Benefits
Skills/Tech-stack
AI Search | AWS | Amazon SageMaker | Apache Airflow | Apache Kafka | Apache Spark | Autogen | Azure | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | CrewAI | Databricks | Docker | Drift monitoring | Feature Engineering | Fine Tuning | GCP | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Hybrid retrieval | Knowledge graphs | Kubernetes | Langgraph | Language Models | Large Language Models | Latency monitoring | Llamaindex | MLOps | Microsoft Fabric | Model Drift | Model Evaluation | Model drift monitoring | Model versioning | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | TensorFlow | Token Usage Monitoring | Token usage | Usage monitoring | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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