Source description
About the role
We are seeking a talented and experienced AI/ML Engineer specializing in Conversational AI to design, develop, and deploy intelligent chatbots. The ideal candidate will possess a deep understanding of Natural Language Processing, memory-enhanced neural architectures, and generative AI techniques to build state-of-the-art conversational systems. What you need to succeed: Design and develop AI-driven chatbots with context retention and memory capabilities. Implement state-of-the-art SLM models and fine-tune pre-trained transformers like LLaMA, GPT, Mistral, or BERT. Develop custom solutions for context-aware responses, user-specific personalization, and interaction flow management. Integrate chatbots into various platforms, ensuring seamless deployment and scalability. Utilize advanced machine learning models like LSTMs, MANNs, or reinforcement learning to enhance conversational capabilities. Monitor chatbot performance, analyze user interactions, and iteratively improve the models. Collaborate with UI/UX teams to deliver user-friendly conversational interfaces. Optimize ML pipelines for model training, versioning, and deployment using MLOps best practices. Document workflows, research findings, and technical architecture. What you get to do: Strong expertise in Python, with knowledge of data cleaning and preparation libraries for text extraction. Hands-on experience with NLP tools and frameworks (e.g., SpaCy, Hugging Face Transformers, or AllenNLP). Proficiency in conversational AI platforms (e.g., Amazon Lex or Microsoft Bot Framework). Knowledge of contextual and memory-based architectures in AI. Experience with cloud services for ML training and deployment on AWS SageMaker. Excellent problem-solving, analytical thinking, and communication skills.
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