I-CPT-0033: AI & ML Developer

Expertise in NLP, chatbot development, and AI-driven automation. Proficiency in Python, Django, Flask. Experience with OpenAI API, Hugging Face Transformers, TensorFlow, PyTorch. Familiarity with React, REST APIs, Webhooks. Experience with MySQL, MongoDB, PostgreSQL databases. Knowledge of NLP/Conversational AI platforms (Dialogflow, Rasa, LangChain, etc.). Experience with AI-powered chat-based support systems. Experience with automated ticketing workflows using ML. Hands-on experience with large-scale chatbot deployments. Exposure to enterprise-level CRM/ITSM integrations.

Design and develop NLP models for chatbots, sentiment analysis, and document processing. Implement text classification, named entity recognition (NER), summarization, and translation. Fine-tune and deploy pre-trained LLMs (e.g., GPT-4, BERT, LLaMA, T5). Build and deploy intelligent chatbots for customer support and ticketing automation. Implement intent recognition, entity extraction, and context-aware dialogue flows. Integrate chatbots with WhatsApp, Slack, MS Teams, and WebChat. Enable multi-turn conversations and proactive AI-driven responses. Develop AI models for ticket categorization, prioritization, and auto-routing. Implement AI-powered auto-response generation for FAQs. Apply reinforcement learning for optimizing resolution workflows. Preprocess and clean ticketing logs, chat transcripts, and emails. Apply tokenization, lemmatization, and embeddings for improved NLP accuracy. Enhance supervised models through dataset labeling and annotation. Build APIs for AI-driven chatbot and ticketing automation. Integrate with CRMs and ITSM tools (e.g., ServiceNow, Zendesk, Freshdesk). Create real-time NLP analytics dashboards for chatbot performance tracking. Conduct A/B testing, hyperparameter tuning, and model benchmarking. Apply evaluation metrics (F1-score, BLEU, ROUGE, perplexity). Optimize for low-latency, real-time interactions. Stay updated with the latest in LLMs, generative AI, and conversational AI. Experiment with Gemini, Claude, Mistral, and other cutting-edge models. Contribute to innovation in AI-driven automated support systems. Ensure compliance with GDPR, CCPA, HIPAA (where applicable). Implement bias detection, fairness, and ethical AI practices. Secure models against adversarial attacks and vulnerabilities. Work with IT, customer support, and automation teams. Document architectures, workflows, and training pipelines. Conduct internal training sessions for teams on AI automation tools.