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Niche LLM/NLP specialization reduces applicant pool despite being remote.
Core ML/NLP skills transfer across industries, but ticketing and CRM integrations add moderate domain bias.
Specific LLM/NLP, integrations, and compliance requirements create stringent technical filters.
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Develop and deploy NLP models and AI-powered chatbots for customer support and ticketing automation, including multi-turn conversations and integration with platforms like WhatsApp and Slack.
Optimize ticketing systems using AI for categorization, prioritization, auto-routing, and auto-response generation with reinforcement learning.
Build APIs and integrate AI systems with CRM and ITSM tools (e.g., ServiceNow, Zendesk), while creating real-time analytics dashboards and ensuring compliance with data security and ethical AI standards.
Programming skills in Python and frameworks like Django or Flask.
Experience with AI/ML tools such as OpenAI API, Hugging Face Transformers, TensorFlow, or PyTorch.
Work Experience Required: Not explicitly mentioned in the JD.
Availability to work 20 hours/week remotely in the 9:30 AM – 2:30 PM EST window (weekdays preferred).
Experience with AI-driven chat-based customer support systems and large-scale chatbot deployments.
Familiarity with automating ticketing workflows using machine learning and integrating AI solutions with enterprise CRM/ITSM platforms.
Ability to research and implement cutting-edge large language models (LLMs) and generative AI technologies such as GPT-4, BERT, Gemini, Claude, and Mistral for continuous improvement.