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Machine Learning Engineer for Influencer Outreach & Automation Tool

Budget: - HOURLY / PART_TIME ⭐ 0.00 (0) Pakistan

machine-learning, machine-learning-model, python, python-script, requests, data-analysis, dax-language, deep-learning, deep-learning-model, computer-vision, neural-networks, artificial-neural-networks, data-visualization

Preferred qualifications

  • Experience: Intermediate
Machine Learning Engineer | AI-Powered Influencer Outreach & Automation Tool I am looking for an experienced Machine Learning Engineer / AI Engineer to help build an AI-powered Influencer Outreach & Management Platform for influencer marketing. The goal is to create a software tool that can help manage the complete influencer outreach process — from finding and analyzing influencers to influencer scoring, personalized outreach, follow-ups, campaign management, and performance analytics. This is planned as a long-term project, starting with an MVP and expanding into advanced AI/ML features. What I Want to Build The platform should eventually include: Influencer discovery and database Influencer search and advanced filtering Influencer profile management Influencer niche and audience analysis Influencer scoring and ranking Influencer-product matching AI-powered influencer recommendations Outreach campaign management Personalized AI-generated outreach messages Follow-up management Contact and conversation tracking Influencer CRM Campaign analytics Influencer performance analytics Automated workflows AI / Machine Learning AI and Machine Learning will be a core part of the platform. I want to explore features such as: Influencer recommendation systems Influencer scoring and ranking Influencer-product matching Audience/niche classification Engagement-quality analysis Predictive campaign performance AI-powered search Personalized outreach generation Response/interest prediction Learning from historical campaign data I am open to your recommendations regarding the best ML models, AI architecture, APIs, databases, and technology stack. Required Experience You should have strong experience with: Machine Learning Artificial Intelligence Python Generative AI / LLMs NLP Recommendation Systems Predictive Modeling Data Analysis API Integration REST APIs Backend Development Database Design SaaS Development Experience with OpenAI API, embeddings, vector databases, RAG, AI agents, or automation workflows is a strong advantage. Experience with influencer marketing, social media analytics, marketing automation, CRM, lead generation, or SaaS platforms is highly preferred. MVP I want to start with a practical MVP rather than building everything at once. The initial version may include: Influencer database Search and filtering Influencer profiles Influencer scoring Campaign management Outreach management AI-assisted personalized messages Follow-up tracking Basic analytics Admin dashboard Required API integrations The exact MVP scope will be finalized with the selected developer. Important I am not looking for a basic CRM or simple web developer. The long-term vision is an intelligent platform that can help answer: Who should I contact? Why is this influencer a good fit? How should I approach them? When should I follow up? Which influencers are most likely to perform well? The system should use AI, Machine Learning, data, and automation to make influencer outreach more efficient and data-driven. What to Include in Your Proposal Please answer these questions: Have you built any AI/ML SaaS, recommendation, automation, CRM, or marketing platforms? What experience do you have with Machine Learning and recommendation/ranking systems? What AI/LLM technologies have you worked with? How would you approach influencer scoring and recommendation? What technology stack would you recommend? What would you include in the first MVP? What is your estimated timeline and budget? How many hours per week are you available? Please do not send a generic proposal. Start your proposal by explaining briefly how you would build an AI-powered influencer scoring and recommendation system. This is intended to be a long-term collaboration if the initial MVP is successful.
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