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language processing, Generative AI, and Agentic AI.\n\nThe role involves designing, developing, and deploying machine learning models and AI-powered applications, along with implementing MLOps practices to support model deployment, monitoring, and maintenance.\n\nKey Responsibilities : \n\n- Design, develop, and optimize machine learning models for applications across different domains.\n\n- Apply supervised and unsupervised learning, deep learning, reinforcement learning, and other machine learning techniques.\n\n- Develop NLP pipelines for language modelling, text generation, summarization, translation, and sentiment analysis.\n\n- Build and deploy Generative AI applications, including conversational AI, text generation, and image synthesis.\n\n- Develop real-world applications using Agentic AI frameworks such as LangGraph, ADK, and AutoGen.\n\n- Implement MLOps practices covering model training, evaluation, deployment, monitoring, and maintenance.\n\n- Process data, perform feature 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