EY - GDS Consulting - AIA - Nvidia AI Engineer- Senior
INR 2400K-4000K (estimate) Senior-level Full Time
Tasks
- Add observability for model drift latency and token usage
- Architect LLM based applications and multi agent systems
- Build RAG pipelines using vector databases and knowledge graphs
- Deploy and manage AI workloads on Azure AWS and GCP
- Design orchestration for multi agent workflows with tool integrations
- Develop APIs integration services and data pipelines for AI systems
- Implement MLOps with CI CD and model versioning
- Implement prompt engineering fine tuning and evaluation
- Lead design develop and deploy generative AI and agentic AI solutions
- Mentor team members through code reviews design discussions and knowledge sharing
- Optimize AI workloads for GPU execution
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Agent systems | Agentic AI | Amazon SageMaker | Autogen | Azure | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | CUDA | CrewAI | Docker | Feature Engineering | Fine Tuning | GCP | GPU Computing | Hugging Face | Hugging Face Transformers | Hybrid retrieval | Knowledge graphs | Kubernetes | Langgraph | Language Models | Large Language Models | Latency | Llamaindex | MLOps | Machine Learning | Model Drift | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | NVIDIA GPUs | Observability | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Token usage | Transformer Models | Vector Databases | Vertex AI
Education
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