AI Scientist & Engineer, Assurance Innovation Lab
Tasks
- Build agentic workflows
- Build data pipelines
- Collaborate with cross-functional teams
- Collect clean transform datasets
- Deploy production AI systems
- Design machine learning models
- Develop RAG solutions
- Develop vector database solutions
- Evaluate explainability reliability
- Implement Knowledge Graphs
- Integrate data and model frameworks
- Maintain enterprise AI governance compliance
- Monitor and track model performance
- Operationalize scalable AI deployments
- Optimize model performance
- Prototype emerging AI solutions
- Train fine tune LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Risk Management Framework | AI Studio | AWS Bedrock | Agent systems | Anthropic | Azure AI | Azure AI Studio | Cloud platform | Docker | Google Cloud | Google Cloud Platform | Hugging Face | ISO/IEC | ISO/IEC 42001 | Inference Server | Java | Knowledge graphs | Kubernetes | Langchain | Langgraph | Llamaindex | MLflow | Management Framework | Matplotlib | Microsoft Azure | Milvus | Multi-Agent | Multi-Agent Systems | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | NoSQL | NumPy | OpenAI API | Pandas | Pinecone | PyTorch | Python | R | Retrieval-Augmented Generation | Risk Management Framework | SQL | Scala | Scikit-learn | TensorFlow | Transformer Models | Triton Inference Server | TypeScript | Weaviate | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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