NLP/Machine Learning (Full time)

Bot for mirroring positions on Binance Futures (Python) A bot is needed that reads my positions on Hyperliquid (public API) and Bitget Futures (my read-only key) and proportionally replicates them on my Binance USDT-M Futures via API. Logic: opening, increasing, partial closing, full closing — everything is mirrored with a customizable size ratio. Polling every 5–10 seconds. Correct handling of partial closures and averaging is mandatory. Requirements: notifications in Telegram about trades and errors; config (pairs, ratio, limits); deployment on my VPS + instructions; source code is transferred to me. I will enter the keys myself. Stages: 1) Hyperliquid→Binance, test with small amounts; 2) Bitget→Binance. Payment through safe in stages. In your response, indicate your experience with exchange APIs and how you will handle a partial closure of 30% of the position by the leader.

A deep technical verification of three PDF files for authenticity and possible signs of editing or forgery is required. Not only a visual assessment of the documents is needed. The performer must have a good understanding of the internal structure of PDF files and be able to analyze: file metadata; PDF structure and individual objects; creation history and possible editing; software used; embedded fonts, images, layers, and other elements; possible signs of re-saving, conversion, modifications, or backdating of the document; any technical discrepancies that may indicate manipulation of the files. Based on the verification results, a clear written conclusion regarding each file must be provided, indicating the identified signs, risks, and limitations of the verification. We are considering specialists who have practical experience in digital forensics, PDF document analysis, metadata, or verifying electronic files for authenticity. In your response, please briefly describe your experience, methods, and tools that you use for such verification.

The indicator for use in trading should determine certain ranges with history and analyze them with the current one.

I have a list of Discord servers operating in different countries and languages. The task involves sending private messages to users on the specified servers. The content of the campaign will be tailored to each server. A total of message variants have been prepared in 10 languages. Scope for Quotation Stage 1 - Test Sending 1000 test messages to check the effectiveness of the solution, the quality of execution, and the response of anti-spam systems. Stage 2 - Main Campaign Sending 10,000 messages per month for a period of 5 months. Total volume: 50,000 messages. Terms of Cooperation The contractor is responsible for the execution of the task from start to finish, including the preparation of the necessary infrastructure and accounts. On my side, I will provide: graphics, message content, list of servers, information on which language version should be used on a specific server. The order may be expanded if the test stage is successful and the messages effectively reach the recipients.

Need an experienced Python developer to create an automation program for working with the website. What the bot should do: Log in to my account on the website. Continuously (24/7) monitor for new Work Orders. Upon the appearance of a new order, open its card. Analyze the information about the order (type of work, city, distance, description). Automatically accept orders that meet the specified conditions. If the order does not meet the conditions, skip it. Send notifications in Telegram about accepted and skipped orders. Requirements: Python. Playwright (preferred) or Selenium. Work through a regular browser. Transfer the complete source code after the project is completed. Provide installation and launch instructions. Mandatory experience in developing similar automation systems. When responding, please send examples of similar projects.