Build Internal Search Engine & Repository for Marketing Case Studies
Budget: ₹1,500 – ₹12,500 INR
We are seeking an experienced developer to create an internal search engine and repository for marketing case studies. This tool will enable our employees to easily search and access past projects, improving access to valuable insights and data, avoiding duplication of efforts, and enhancing the quality and effectiveness of new marketing strategies by learning from past successes and failures.
Responsibilities:
• Develop a secure and scalable repository for storing marketing case studies.
• Implement a powerful search engine using technologies like Elasticsearch to index and search case studies efficiently.
• Integrate the ChatGPT API for natural language processing and query handling.
• Design a user-friendly interface for searching and retrieving case studies.
• Integrate with Microsoft Teams, allowing users to interact with the search engine through a chatbot.
• Ensure secure access using Single Sign-On (SSO) and other security measures.
• Conduct testing and quality assurance to ensure the system meets user needs and performs well under load.
• Provide training and documentation to help users get the most out of the new system.
Requirements:
• Proven experience in developing search engines and repositories.
• Strong knowledge of Elasticsearch or similar search technologies.
• Experience with natural language processing and working with APIs like the ChatGPT API.
• Proficiency in programming languages such as Python, JavaScript, or similar.
• Experience with Microsoft Teams integration and developing chatbots.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong understanding of security best practices, including SSO.
• Excellent problem-solving skills and attention to detail.
• Good communication skills and ability to provide clear documentation.
Preferred Qualifications:
• Experience with large-scale data processing and storage solutions.
• Prior experience with marketing or similar case studies.
• Ability to provide ongoing support and maintenance.
Project Timeline:
• Requirements Gathering: 2 weeks
• Data Collection and Repository Setup: 3 weeks
• Search Engine Development: 4 weeks
• Integration with Existing Tools: 2 weeks
• Testing and Quality Assurance: 3 weeks
• Deployment and Training: 2 weeks
How to Apply:
Please provide the following in your application:
• A brief overview of your experience and why you are a good fit for this project.
• Examples of similar projects you have completed.
• Your proposed approach and technology stack for this project.
• An estimated timeline and budget for completing the project.
Responsibilities:
• Develop a secure and scalable repository for storing marketing case studies.
• Implement a powerful search engine using technologies like Elasticsearch to index and search case studies efficiently.
• Integrate the ChatGPT API for natural language processing and query handling.
• Design a user-friendly interface for searching and retrieving case studies.
• Integrate with Microsoft Teams, allowing users to interact with the search engine through a chatbot.
• Ensure secure access using Single Sign-On (SSO) and other security measures.
• Conduct testing and quality assurance to ensure the system meets user needs and performs well under load.
• Provide training and documentation to help users get the most out of the new system.
Requirements:
• Proven experience in developing search engines and repositories.
• Strong knowledge of Elasticsearch or similar search technologies.
• Experience with natural language processing and working with APIs like the ChatGPT API.
• Proficiency in programming languages such as Python, JavaScript, or similar.
• Experience with Microsoft Teams integration and developing chatbots.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong understanding of security best practices, including SSO.
• Excellent problem-solving skills and attention to detail.
• Good communication skills and ability to provide clear documentation.
Preferred Qualifications:
• Experience with large-scale data processing and storage solutions.
• Prior experience with marketing or similar case studies.
• Ability to provide ongoing support and maintenance.
Project Timeline:
• Requirements Gathering: 2 weeks
• Data Collection and Repository Setup: 3 weeks
• Search Engine Development: 4 weeks
• Integration with Existing Tools: 2 weeks
• Testing and Quality Assurance: 3 weeks
• Deployment and Training: 2 weeks
How to Apply:
Please provide the following in your application:
• A brief overview of your experience and why you are a good fit for this project.
• Examples of similar projects you have completed.
• Your proposed approach and technology stack for this project.
• An estimated timeline and budget for completing the project.