Application Developer United States Projects
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opportunity
Automated Semantic Text Analysis Pipeline
Comprehensive Use Case Specification: Automated Semantic Text Analysis Pipeline Objective Develop an automated semantic text analysis pipeline that processes and analyses textual data extracted from documents. This pipeline enriches text with metadata for deeper insights and enables semantic search capabilities through a user-friendly interface. This stage of the project is for a MVP system should leverage AWS services such as Textract for text extraction, a text categorising stage with a simple to use GUI, all-mpnet-base-v2 for embedding, and Postgres with a vector extension. This job posting is for the MPV stage only, but we must be mindful of the stage two development and facilitate rapid and straightforward scalability in any stage one MPV processes. System Overview The solution encompasses AWS services for storage and processing, a custom interface for metadata enrichment, all-mpnet-base-v2 for generating text embeddings, Postgres and a vector extension for efficient storage and retrieval of vectors, and a custom-built web interface for user interaction. RAG will be implemented with a broad a context as possible to the model across a large document set. Phase 1: MVP Stage 1. Document Storage and Processing Trigger - Tool: Amazon S3. - Process: Upload documents (PDFs initially) to designated S3 buckets, documents will be remained in accordance with a set naming convention and key metadata relating to the document entered into the database for future reference. This triggers the subsequent text extraction process. For test purposes the uploads will be made manually, and at later stages a web scraper will be added that automatically places PDF documents into relevant S3 buckets. 2. Text Extraction - Tool: AWS Textract. - Process: Text is extracted from uploaded PDF documents and temporarily stored in A3 buckets to facilitate further processing. 3. Text Enrichment Developer to advise on best method of adding labels / categories to the text, via an easy to use interface. Labels to be added at a granular level to allow the return of text snippets, providing context to the LLM in formulating it's responses from a broad range of documents without exceeding the token limit. 4. Text Vectorization - Embedding tool: all-mpnet-base-v2 - LLM: Amazon SageMaker (using LLaMA 2). - Process: The text is processed with LLaMA 2 to generate vector embeddings, capturing semantic information for advanced analysis and search functionalities. 5. Vector Storage - Tool: Postgres with a vector extension - Process: Text vectors are stored in the database, allowing for efficient management and retrieval of vectorized data for semantic searches. 6. Front-end Web Application and Search Functionality - Front-end Technology: React.js. - Key Features: - Semantic search input and results display. - email input field for collecting contact information for marketing purposes, forwarding to the client's email address. - Homepage containing descriptive marketing text. - 3 pages total: home page, interaction page, contact page, plus a pop up with GDPR info. Graphics provided as template guidance. - Back-end Technology: Python with FastAPI. Phase 2: Full Automation and Scaling 1. Automated Document Ingestion - Process: A web scraping tool is implemented to automatically identify and upload new documents to the S3 bucket, facilitating a continuous flow of data into the pipeline without manual intervention. 2. Scalable Architecture - Deployment: The application components are containerized using Docker and managed with Kubernetes (Amazon EKS), ensuring the system can scale efficiently to accommodate increased data volumes and user queries. 3. Enhanced Processing Capabilities - Improvements: Integrate additional NLP and ML models for broader and more nuanced text analysis. Consider fine-tuning custom models for specific domain applications. 4. User registration and user management system integration. Please note the attached contract agreement that will be deemed agreed to upon acceptance of the project. Your price given on PPH will be deemed to be your full and final price, and you will be deemed to have fully understood the scope, brief, and specification. To provide context, the project business plan has been uploaded. This is for context only and does not form part of the brief.
21 days ago11 proposalsRemoteopportunity
Local Council Chatbot utilising Llama2 and dataset of PDF docs.
Full stack developer with relevant experience in AWS services and LLM deployment. Description Develop an MVP that provides a chat interface allowing users to query a dataset of local council documents, which will variously include minutes and policy documents. A dataset that contains all information relating to the purpose, policies, news, information, and decision making by that council. The dataset would contain approximately 100 PDF documents, and the chatbot would return meaningful and coherent answers to user prompts, while providing reference links to documents that information in the response is taken from. The client acknowledges the current limitations of LLMs in returning responses from queries across multiple documents, especially given current token limits and processing cost restrictions. A developer is sought that can leverage techniques to embed metadata in the text, allowing techniques such as RAG to extract snippets of data from multiple documents relating to the query and collate them into a response to the user, while adhering to token limits. Objective Develop an automated semantic text analysis pipeline that processes and analyses textual data extracted from documents using Llama2. This pipeline enriches text with metadata for deeper insights and enables semantic search capabilities through a user-friendly interface. This stage of the project is for a MVP system, leveraging AWS services such as Textract for text extraction, a text categorising stage with a simple to use GUI, all-mpnet-base-v2 for embedding, and Postgres with a vector extension. This job posting is for the MPV stage only, but we must be mindful of the stage two development and facilitate rapid and straightforward scalability in any stage one MPV processes. System Overview The solution encompasses AWS services for storage and processing, a custom interface for metadata enrichment, all-mpnet-base-v2 for generating text embeddings, Postgres and a vector extension for efficient storage and retrieval of vectors, and a custom-built web interface for user interaction. RAG will be implemented with a broad a context as possible to the model across a large document set. Phase 1: MVP Stage 1. Document Storage and Processing Trigger Tool: Amazon S3. Process: Upload documents (PDFs initially) to designated S3 buckets, documents will be renamed in accordance with a set naming convention and details of the document entered into the database. This triggers the subsequent text extraction process. For test purposes the uploads will be made manually, and at later stages a web scraper will be added that automatically places PDF documents into relevant S3 buckets. 2. Text Extraction - Tool: AWS Textract. - Process: Text is extracted from uploaded PDF documents and temporarily stored in A3 buckets to facilitate further processing. 3. Text Enrichment Developer to advise on best method of adding labels / categories to the text, via an easy to use interface. Labels to be added at a granular level to allow the return of text snippets from within the chunks of data, but with relevant metadata. The purpose of this is to provide context to the LLM in formulating responses from a broad range of documents without exceeding the token limit. 4. Text Vectorization • Embedding tool: all-mpnet-base-v2 • LLM: Amazon SageMaker (using LLaMA 2). Process: The text is processed with LLaMA 2 to generate vector embeddings, capturing semantic information for advanced analysis and search functionalities. 5. Vector Storage Tool: Postgres with a vector extension Process: Text vectors are stored in the database, allowing for efficient management and retrieval of vectorized data for semantic searches. 6. Front-end Web Application and Search Functionality Front-end Technology: • React.js. Key Features: • Semantic search input and results display. • email input field for collecting contact information for marketing purposes, forwarding to the client's email address. • Homepage containing descriptive marketing text. 3 pages total: home page, interaction page, contact page, plus a pop up with GDPR info. Graphics provided as template guidance. Back-end Technology: • Python with FastAPI. 7. Fine Tuning Allow for fine tuning based on a series of questions and responses to be provided by the client, until such point that coherent responses to queries are achieved. Phase 2: Full Automation and Scaling Beyond the scope of this job. Notes: The developer is to provide guidance and feedback on the capabilities of the technologies and is free to provide their own guidance and suggestions. However, the functionality of the system in providing coherent responses based on text snippets drawn from a large dataset is both the challenge and the absolute requirement. Please only bid with your full and final price. Placeholders will not be accepted. Completion with approximately two weeks. Please respond by explaining how you would handle the text enrichment?
21 days ago17 proposalsRemoteopportunity
Expert Data Scientist in Unsupervised Fraud/Outlier Detection
Position: Expert Data Scientist Specialization: Unsupervised Fraud Detection/Outlier Detection Type: Part-time that may become full-time(minimum 20 hours/week) Please find here a blog that is an introductory to the challenge that we're handling with: https://medium.com/dataman-in-ai/2-features-for-healthcare-fraud-waste-and-abuse-7c262ac59859 ** The project has already commenced. The data scientist must be prepared to join our team and possess skills in rapid learning, agility, and experience. Company Overview: Our company is a cutting-edge insurtech-healthtech company that is revolutionizing the way of finding frauds and diagnosis. We are dedicated to leveraging advanced machine learning, deep learning, and artificial intelligence techniques to solve complex problems in insurtech-healthtech. As we continue to grow, we are seeking a talented and experienced ML/DL/AI Expert Data Scientist to join our team and play a pivotal role in enhancing our fraud detection and outlier detection capabilities. An example of this project can be - If we have 3 cases where Chest X-RAY (medical test) was ordered - in the first, patient has infection and fever and Chest X-RAY was ordered. In the second case, a procedure was scheduled to a patient and Chest X-RAY was ordered. In the third case, a patient came to the hospital with a broken leg, and Chest X-RAY was ordered. The third case is an outlier, because a broken leg and Chest X-RAY are not related. We need to flag on the third case, and specifically on the Chest X-RAY. About the data - structured dataset consists majorly Boolean features of medical conditions, medical history, medical test, demographics, financial. Role and Responsibilities: As an ML/DL/AI Expert Data Scientist specializing in Fraud Detection/Outlier Detection, you will be responsible for: Model Development: Design, develop, and implement models, etc. for fraud detection and outlier detection. Feature Engineering: Wise Feature Engineering to add to our working pipeline, we would like to add a couple of additional features, add additional model that will cover some other angels, for example, similarity model (Spectral/Contextual Clustering), and time series analysis model, and plug them into our current processes. Learning Event Sequences: Utilize your expertise in handling learning event sequences and similarities to build models that can effectively capture and analyze sequential data patterns for fraud detection. Collaboration: Collaborate with cross-functional teams including data engineers, domain experts, and software developers to integrate the developed models into our existing systems and applications. Contribute to a cohesive team environment that fosters knowledge sharing and innovation. ** It is not anomaly detection, it is fraud detection. Qualifications: - Proven experience (at least 3 years) working on fraud detection and/or outlier detection projects, Python and Data Science. - Strong background in Feature Engineering, handling imbalanced datasets and designing solutions to address data class imbalance. - Proficiency in programming languages such as Python, ML - Experience in analyzing and interpreting complex learning event sequences for fraud detection purposes. - Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders. - Prior experience with insurance and/or healthcare data is a significant advantage. - Strong problem-solving skills and the ability to work independently in a dynamic environment. Benefits: Opportunity to work on cutting-edge projects that have a meaningful impact on healthcare. Collaborative and innovative work culture that values learning and growth. Access to the latest tools, resources, and research in the field of ML/DL/AI. If you're a passionate and experienced ML/DL/AI Expert with a focus and experience with Fraud Detection/Outlier Detection and are excited about contributing to the growth and success of our Company, we encourage you to apply. Join us in our mission to revolutionize healthcare through advanced data science and AI techniques.
a month ago25 proposalsRemoteSales Representative with Social Media Manager experience
Description We are seeking a versatile and skilled individual to join our team as a Social Media Manager / Sales Representative for our mulch service business. The ideal candidate will excel in both social media management and sales, possessing the ability to effectively engage with customers through various channels. We encourage applications from South American or Mexican candidates. RESPONSIBILITIES Social Media Management Establish and manage our Facebook page, ensuring it reflects our brand identity and values. Develop and execute engaging content strategies, including infographics and short videos, for regular posting to enhance brand visibility and engagement. Plan and implement targeted advertising campaigns on Google and Facebook to drive traffic and generate leads. Sales Representation Answer incoming calls and inquiries from customers and potential customers regarding our mulch services. Provide exceptional customer service by addressing questions, resolving concerns, and delivering persuasive sales pitches. Convert inquiries into sales by effectively communicating the benefits of our services and guiding customers through the booking process. Experience Minimum of 1 years of experience in both sales and social media management roles. Demonstrated success in managing social media accounts and driving sales through various platforms. Skills Proficiency in Facebook page management, content creation, and advertising. Ability to create visually appealing infographics and compelling sales pitches. Excellent communication skills, with the ability to engage effectively with customers and close sales. Availability Willingness to work part-time initially (20 hours per week) with the potential for full-time employment by April. Must be available to work during Central Time business hours. Additional Information This role requires a proactive and adaptable individual who can seamlessly transition between social media management and sales tasks. The selected candidate will play a key role in driving customer engagement and revenue growth for our business. We offer a supportive work environment and opportunities for professional development and advancement.
a month ago17 proposalsRemoteopportunity
5 x mailchimp email campaigns (template for 2 )our data
We are looking for a freelancer to create and send five email campaigns using Mailchimp. The freelancer will be provided with a template for two of the campaigns, and they will need to use our data to create and personalize the remaining three campaigns. The campaigns should be designed to promote our products or services and should include clear calls to action. The freelancer should also be able to track the performance of the campaigns and provide us with reports on their effectiveness. **Job Advertisement: MailChimp Campaign Manager** **Position:** MailChimp Campaign Manager **Location:** Remote **Type:** Ongoing Contract with Initial Setup Phase **Compensation:** Competitive, based on experience and project scope **About the Role:** We are seeking a skilled and dedicated MailChimp Campaign Manager to join our team. The successful candidate will be responsible for overseeing the setup, execution, and optimization of five distinct email marketing campaigns. This role demands a keen eye for detail, adeptness in data management, and proficiency in scheduling to ensure campaigns are delivered effectively across different times of the day. **Responsibilities:** - Utilize existing templates to set up two current and three additional campaigns. - Upload and manage data for each campaign, ensuring accurate segmentation. - Schedule email dispatches in targeted packets (morning, afternoon, evening) over a two-week period for each campaign. - Conduct A-B split tests to refine campaign effectiveness. - Generate comprehensive reports every two weeks, analyzing the optimal timing for emails based on day of the week and time of day, with the goal of refining future campaigns. - Continuously maintain and update campaigns with new data on a monthly basis, post initial setup. - Provide expert recommendations for campaign optimization. **Requirements:** - Proven experience in managing and optimizing MailChimp email campaigns. - Strong analytical skills with the ability to interpret data and generate insightful reports. - Excellent organizational skills with the capacity to handle multiple campaigns simultaneously. - Proficiency in A-B testing and data segmentation. - Ability to work independently and as part of a team. - Commitment to ongoing project development and success. **Offer:** The selected candidate will initially focus on the setup of three new campaigns, incorporating A-B splits, data segmentation, and scheduling across different times for comprehensive two-week cycles. Following the initial phase, this position will transition to an ongoing role, focusing on campaign maintenance, data refreshment, and optimization based on performance analytics. Compensation will be competitive, reflecting both the setup phase and ongoing management responsibilities. **Application Process:** If you are passionate about email marketing and have a track record of success with MailChimp, we would love to hear from you. Please submit your resume, along with a brief cover letter highlighting your relevant experience and why you are the ideal candidate for this role. **Apply Today** to become a pivotal part of our team, driving the success of our email marketing strategies forward. Please note that we will provide the data for the campaigns, but the freelancer will need to have experience with Mailchimp and be able to create and personalize email campaigns. We are looking for someone who can produce high-quality campaigns that will help us achieve our marketing goals. If you are interested in this project, please submit your proposal, including your rates and a sample of your work. We will review the proposals and select the freelancer who best meets our requirements.
19 days ago23 proposalsRemoteProduct Marketing Executive for SaaS Company | Paid Ads
***Read the complete job description before applying.*** **Company Overview:** IPBurger is an innovative Proxy (SaaS) company committed to delivering cutting-edge solutions to our valued clientele. Our comprehensive suite of offerings includes Datacenter Proxies, Residential Proxies, ISP Proxies, Mobile Proxies, VPN services, and Scraper APIs, catering to a diverse range of needs in the digital landscape. **Position Overview:** We are seeking a remote part-time Product Marketing Specialist to join our dynamic team. The ideal candidate will be responsible for driving our marketing efforts, focusing on generating highly targeted traffic, lead generation, increasing conversions through various channels, positioning our products, and help dealing with buyer’s journey. This individual will play a crucial role in executing, optimizing, and running paid ads, email campaigns, affiliate recruitment, and strategic partnership initiatives. **Responsibilities:** 1. Plan, execute, and monitor profitable paid advertising campaigns on various platforms, including but not limited to Google Ads, Facebook Ads, LinkedIn Ads, Instagram Ads, YouTube Ads, etc. 2. Continuously optimize ad campaigns to improve performance metrics such as ROI, CTR, and conversion rates. 3. Develop and implement effective email campaigns targeting for both existing clients and new leads to nurture relationships and drive engagement. 4. Help us with product positioning. 5. Actively recruit affiliates to expand our referral program and increase brand awareness. 6. Identify and reach out to potential partners, companies, and influencers for collaboration opportunities and strategic partnerships. 7. Stay updated on industry trends, competitor activities, and best practices to suggest innovative campaign ideas and strategies. 8. Collaborate with cross-functional teams to align marketing efforts with overall business objectives. 9. Track, analyze and report key performance indicators (KPIs) to assess the effectiveness of marketing campaigns and recommend adjustments as needed. 10. Assist in creating marketing collateral and content as required. **Skills & Qualifications:** 1. Proven experience in running successful paid advertising campaigns, with a strong portfolio showcasing measurable results. 2. Exceptional attention to detail with the ability to spot trends and insights from data analysis. 3. Demonstrated creativity and the ability to generate campaign ideas. 4. Strong communication (English language) and interpersonal skills with the ability to work effectively in a collaborative team environment. 5. Proficiency in using marketing analytics tools such as Google Analytics, Facebook Business Manager, etc. 6. Prior experience in email marketing, and partnership outreach is highly desirable. 7. Excellent copywriting skills is a must. 8. Technical ability in order to analyze and optimize marketing efforts. This is an opportunity to have a long-term contract with IPBurger and be a part of the core team. **Location:** Remote **Hours:** Part-time, 20 hrs/week. Flexible working hours, but need to match up hours for calls and to work with other team members when needed. **Remuneration:** $80-$100 While sending the application, the first paragraph should include “IPBurger Is Great”. This is to verify you have read the complete job description before applying.
24 days ago17 proposalsRemote