Senior AI Engineer, IT Solutions 1
Tasks
- Define AI use case feasibility and success metrics
- Design Generative AI and RAG architectures
- Develop AI prompts and orchestration workflows
- Elicit and document AI machine learning requirements
- Ensure AI governance security and ethical practices
- Evaluate and select foundation models
- Implement MLOps CI CD for AI models
- Implement data ingestion pipelines for vector databases
- Integrate AI model endpoints with APIs
- Monitor model performance drift and hallucinations
- Prepare datasets for training and fine-tuning
Perks/Benefits
- N/A
Skills/Tech-stack
AI Studio | AWS Bedrock | Azure AI | Azure AI Studio | CI/CD | Data Modeling | Docker | Generative AI | Google Vertex | Google Vertex AI | Kubeflow | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | SQL | Semantic Kernel | TensorFlow | Vector Databases | Vertex AI
Education
Roles
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