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python kubernetes tensorflow pytorch mlops📋 Description
- Define end-to-end AI/ML and Gen AI architecture, data pipelines, and MLOps.
- Advise clients; lead solution design and present AI/ML architectures.
- Architect scalable, cloud-native AI solutions (Azure ML, SageMaker, Vertex AI).
- Lead Gen AI integration using LLMs via APIs (OpenAI, Gemini, or LLama).
- Design RAG systems with vector databases (Pinecone, Weaviate, FAISS).
- Guide teams on MLOps: CI/CD, model versioning, monitoring, retraining.
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