Automation Development Platform Specialist

5 hours ago

Lahore, Punjab, Pakistan beBeeAutomation Full time $60,000 - $80,000
Job Title

Automation Development Platform Specialist - LinkedIn

About the Role

We are seeking a highly skilled development team or freelance professionals to build a cutting-edge automation platform for LinkedIn. The ideal candidate will have expertise in AI and machine learning technologies, as well as experience working with LinkedIn's API and automation compliance.

Key Responsibilities
  • Develop an AI engine that analyzes prospect data and social activity to generate personalized messages and outreach strategies.
  • Implement voice cloning or voice synthesis technology to enable automated personalized voice messages.
  • Create tools to search for leads based on specific criteria (e.g., job title, company, location, etc.).
  • Integrate third-party APIs or LinkedIn's own API for lead enrichment (company info, social activity, job history).
Requirements
  • Expertise in AI and machine learning technologies (NLP, personalization, text-to-speech).
  • Experience working with LinkedIn's API and automation compliance.
  • Familiarity with proxy solutions and automation best practices for social media platforms.
  • Ability to create intuitive user interfaces and optimize for user experience.
Benefits

This role offers a unique opportunity to work on a challenging project with a high potential for impact. The successful candidate will have the chance to develop their skills and expertise in a dynamic and innovative environment.

Preferred Skills & Experience

Relevant experience and examples of past work related to LinkedIn automation or social media tools. A breakdown of the proposed technology stack. A high-level approach to building the platform, including the AI integration and automation features.

Suggested Technology Stack:
  • Frontend: React.js or Vue.js for a fast, dynamic, and responsive user interface.
  • Backend: Node.js or Python (Flask/Django) for server-side logic.
  • Databases: MongoDB, PostgreSQL, or MySQL for database management.

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