CUDA Jobs

I need an AI-driven solution that can automatically take multiple-choice quizzes on my behalf. The system should read each question, evaluate the provided options, and select the most probable correct answer without human intervention. My main interest is the automation of the quiz-taking process itself, not the generation of new questions. If you have built similar bots, scripts, or machine-learning models for assessment platforms, please let me know how your past experience aligns with this task. I’m open to the underlying technology—Python with Selenium or Playwright, headless browser automations, or a custom model—so long as it consistently submits accurate answers and can be adapted to different quiz interfaces. Key deliverable: a working, documented solution I can...

I’m building a proof-of-concept where an autonomous agent can watch a virtual world through an SDK, reason about what it sees and then act just like a fully fledged non-player character. The environment itself is NPC-centric, so everything you create has to plug cleanly into the existing observation / action interface I already expose. What the agent must ultimately demonstrate is the full spectrum of believable behaviour: • NPC behaviours to cover: combat actions, rich social interactions and day-to-day resource management. • Within combat the agent needs strategic movement, solid weapon-handling logic and the ability to switch into defence tactics when the situation flips. I’ll provide the SDK (Python and C++ bindings) plus stubbed observation data. Your job is...

Here’s what I need built: • A predictive-pricing engine that ingests lot attributes (grade, shelf-life, volume, historical demand) and recommends starting prices in real time. • An automated-bidding module so buyers can set ceilings and let the system compete for them. • A fraud-detection layer that flags suspicious listings or bidding patterns before a transaction closes. Everything must sit behind a clean, minimal interface—no clutter—because both food and pharmaceutical professionals will be using it every day under time pressure. I’m open on stack, but Python with TensorFlow/PyTorch for the models and a lightweight React or Vue front end makes sense; CUDA optimisation is a plus for the Inception pitch. Acceptance criteria for the MVP: 1. End...

I need a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learning: the main task is to build, train, and validate a solution that can correctly place each incoming image into its predefined category with solid, measurable accuracy. Here is how I see the work unfolding: • Prepare and clean the image dataset, applying sensible augmentation so the network generalises well. • Select or design a CNN architecture (transfer-learning with ResNet, EfficientNet, or a custom model—whichever you believe will perform best) and implement it in Python using TensorFlow or PyTorch. • Train, tune hyper-parameters, and track performance with clear metrics; I want the training notebo...