AIML Architect
Tasks
- Architect AI/ML systems
- Build train and fine tune ML and LLM models
- Deploy models for batch processing
- Deploy models for streaming
- Deploy models via APIs
- Design scalable process workflows
- Develop generative AI solutions
- Implement MLOps pipelines
- Integrate vector databases for retrieval
- Lead AI/ML innovation initiatives
- Mentor engineering teams
- Monitor model performance and drift
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Batch Processing | CI/CD | Cloud platform | Drift Detection | Embeddings | Faiss | Generative AI | Google Cloud | Google Cloud Platform | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Milvus | Model Monitoring | Model retraining | NoSQL | Pinecone | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Streaming | TensorFlow | Vector Databases
Education
N/A
Roles
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