Deep knowledge of Gen AI Landscape, LLM Models [LLMs, GANs, VAEs], both from Hyperscalar and Open source, GEN AI popular tools in SDLC ecosystem, AI agents, Agents Orchestration, Agents Planning, Continuous Learning Agents, Langraph, Langchain, Autogen, Vector Embedding, knowledge Graph, Vector DBs
Expertise in machine learning and deep learning frameworks [TensorFlow, Pytorch, Keras, scikit-learn etc.]
Expertise in architecting AI/ML, cloud architectures at enterprise scale
Hands-on experience in Python and ML-related programming
Expertise in model development, LLMOPS, MLOPS and DATAOPS pipeline
Expertise in security, compliance and ethical use of AI, including model explainability and bias migration

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