I-CPT-0033: AI & ML Developer
🇮🇳 India
TensorFlow
CRM
Python
Django
Flask
PostgreSQL
MySQL
MongoDB
Machine Learning
Design
Backend
Frontend
Analyst
Customer Support
Testing
Security Engineer
I-CPT-0033: AI & ML Developer
from 🇮🇳 India
APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the20four7VA Team Portal for faster processing.
Log in using your 20four7VA-issued email address to access the portal.
If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.
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If you're interested in this opportunity, click APPLY TO POSITION to proceed.
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Title: Independent Contractor – AI & ML Developer (Remote).
About 20four7VA
20four7VA is a global leader in providing virtual staffing solutions. We are expanding our technology team to integrate AI-driven automation into customer support and ticketing systems. We are seeking a skilled AI & ML Developer with expertise in NLP, chatbot development, and intelligent automation.
Work Hours: 20 hrs/week (potential to go full-time)
Schedule: 9:30 AM – 2:30 PM EST (Flexi, preferably weekdays)
Key Responsibilities
1. Natural Language Processing (NLP) & AI Model Development
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).
2. AI-Powered Chatbot Development
Build and deploy intelligent chatbots forcustomer support and ticketing automation.
Implement intent recognition, entity extraction, and context-aware dialogue flows.
Integrate chatbots with WhatsApp, Slack, MS Teams, and WebChat.
Enablemulti-turn conversations and proactive AI-driven responses.
3. Ticketing System Optimization
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.
4. Data Processing & Annotation
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.
5. API & System Integration
Build APIs for AI-driven chatbot and ticketing automation.
Integrate with CRMs and ITSM tools (e.g., ServiceNow, Zendesk, Freshdesk).
Createreal-time NLP analytics dashboards for chatbot performance tracking.
6. AI Model Optimization & Evaluation
Conduct A/B testing, hyperparameter tuning, and model benchmarking.
Apply evaluation metrics (F1-score, BLEU, ROUGE, perplexity).
Optimize for low-latency, real-time interactions.
7. Research & Continuous Improvement
Stay updated with the latest inLLMs, generative AI, and conversational AI.
Experiment withGemini, Claude, Mistral, and other cutting-edge models.
Contribute to innovation in AI-driven automated support systems.
8. Security, Compliance & Ethics
Ensure compliance withGDPR, CCPA, HIPAA (where applicable).
Implement bias detection, fairness, and ethical AI practices.
Secure models against adversarial attacks and vulnerabilities.
9. Collaboration & Documentation
Work with IT, customer support, and automation teams.
Document architectures, workflows, and training pipelines.
Conduct internal training sessions for teams on AI automation tools.
Technologies & Tools
Programming: Python, Django, Flask
AI/ML: OpenAI API, Hugging Face Transformers, TensorFlow, PyTorch
Frontend/Integration: React, REST APIs, Webhooks
Databases: MySQL, MongoDB, PostgreSQL
Platforms: NLP/Conversational AI platforms (Dialogflow, Rasa, LangChain, etc.)
Preferred Experience
AI-poweredchat-based support systems.
Automatedticketing workflows using ML.
Hands-on experience withlarge-scale chatbot deployments.
Exposure toenterprise-level CRM/ITSM integrations.
Why Join Us?
Opportunity tosteer AI innovation in global support systems.
Flexible schedule with potential to grow intofull-time role.
Collaborative remote-first culture with focus onautomation, innovation, and impact.
