AI Specialist
Tasks
- Build generative AI applications
- Deploy AI and machine learning solutions
- Design AI solutions
- Develop AI and machine learning solutions
- Develop AI chatbots and virtual assistants
- Develop RAG with vector databases
- Develop prompt engineering for enterprise AI
- Ensure AI security and governance
- Ensure data privacy compliance
- Evaluate AI model accuracy
- Implement retrieval-augmented generation
- Improve AI reliability
- Integrate AI solutions with enterprise systems
- Monitor AI model performance
- Recommend AI innovations
- Train models on structured data
- Train models on unstructured data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | ChromaDB | Cloud Platforms | Data Visualization | Docker | Document processing | Embeddings | Faiss | GCP | Generative AI | Intelligent Document Processing | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Monitoring | OCR | Pinecone | Power BI | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vector Databases
Education
Roles
AI | AI Specialist | Engineer | Learning Engineer | Machine Learning Engineer | Specialist
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