Deep Learning Jobs

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...

Project Title Senior Privacy Research Engineer — NLP Anonymisation & De-Identification (R&D Contract) Category / Skills tags Python, Natural Language Processing, Machine Learning, Data Privacy, Algorithm Development, Artificial Intelligence, Research, Named Entity Recognition (NER) Project Type Full-time or heavy part-time contractor engagement. Open to individuals, teams, or agencies — please make clear in your bid who would actually be doing the work and how continuity is maintained if more than one person is involved. Bidders should propose their own rate and estimated timeline based on the scope below. Description We're building a privacy-preserving enterprise AI governance platform (UK patent-pending) and are hiring for the research-critical slice of th...

Build the computer vision system as if it were analyzing gameplay from a retail copy of the game. It must not rely on any internal game state, memory access, engine hooks, debug APIs, or hardcoded timing values. The system should make all decisions solely from the rendered video output, exactly as a player would see it on screen. The system must support two modes with a user-toggle: * Shot Meter Mode: Analyze the live shot meter visually in real time rather than using predefined release timings or static values. * Animation Mode: Analyze the player’s shooting animation to determine the optimal release timing without using the shot meter. The solution should process frames with low latency, be resilient to different camera angles, graphics settings, and jump shots, and include a ca...

• Description We will provide the sports data to you. Screen video frames will be fed into a backend engine via API: 1. Types of sports What sport is it? Football/basketball/rugby/American football, etc 2. List of Logos Detected logos: UEFA, Real Madrid, Bayern Munich, Liverpool, Inter, etc 3. List of players Identify players from the shirt: 10 Kylian Mbappe, 11 Rodrygo, 12, 13 … 4. Home/away From the players’ wears: Real Madrid home/away, Liverpool home/away etc 5. Match info (team and score) on the top left corner of the screen (if there is any) 6. Who is holding the ball. Upon a worker's initiation and processing, your engine will store the identified information in memory and send it back to the front end. The worker can be re-initiated/reused. For train...

We are seeking an experienced AI/GPU Infrastructure Specialist with expertise in high-performance computing systems, GPU architecture, and liquid cooling solutions. The ideal candidate will have practical experience working with AI servers, GPU clusters, and thermal management technologies used in demanding AI and machine learning environments. The freelancer will support technical evaluation and guidance related to liquid-cooled GPU systems, including GPU server configurations, cooling architectures, thermal performance considerations, and infrastructure requirements for AI workloads. Experience with high-end GPU platforms, data center environments, NVIDIA GPU technologies, HPC systems, and AI compute infrastructure is highly preferred. Candidates should have strong knowledge of GPU har...

We are seeking an experienced AI/GPU Infrastructure Specialist with expertise in high-performance computing systems, GPU architecture, and liquid cooling solutions. The ideal candidate will have practical experience working with AI servers, GPU clusters, and thermal management technologies used in demanding AI and machine learning environments. The freelancer will support technical evaluation and guidance related to liquid-cooled GPU systems, including GPU server configurations, cooling architectures, thermal performance considerations, and infrastructure requirements for AI workloads. Experience with high-end GPU platforms, data center environments, NVIDIA GPU technologies, HPC systems, and AI compute infrastructure is highly preferred. Candidates should have strong knowledge of GPU har...

Project Overview: I need a technical developer to remotely assist in installing, configuring, and testing an open-source Python computer vision video processing repository from GitHub onto my Windows PC via TeamViewer or AnyDesk. The project requires capturing a live webcam feed, running local model inferences, and routing the output into OBS Virtual Camera for streaming.

We are seeking an experienced AI/GPU Infrastructure Specialist with expertise in high-performance computing systems, GPU architecture, and liquid cooling solutions. The ideal candidate will have practical experience working with AI servers, GPU clusters, and thermal management technologies used in demanding AI and machine learning environments. The freelancer will support technical evaluation and guidance related to liquid-cooled GPU systems, including GPU server configurations, cooling architectures, thermal performance considerations, and infrastructure requirements for AI workloads. Experience with high-end GPU platforms, data center environments, NVIDIA GPU technologies, HPC systems, and AI compute infrastructure is highly preferred. Candidates should have strong knowledge of GPU har...

I want a lightweight AI tool that produces high-quality character illustrations—girls or boys—tailored for fashion concepts. The generator should let me adjust clothing styles and colour palettes before it outputs the final image, so a user can quickly test alternative looks for dresses, streetwear, accessories and the like. Core flow I picture: upload or type a brief (e.g. “teen girl, pastel streetwear, oversized jacket”), pick from a few predefined style/colour sliders, then receive multiple 4K PNGs. Speed matters; a prompt-to-preview time under one minute keeps the design process fluid. Feel free to build with Stable Diffusion, ControlNet, or another modern diffusion model—whatever yields crisp fabric textures and clean silhouettes. A simple React or ...

Looking for someone who can help us build a system that uses mix of open-source LLM models and frontier models, customize our existing project management and crm to understand, classify and route to right task for human or for other role based agents. Agents can be script based, rule based, simple code or can use AI/LLM to think and perform task(s) as appropriate. Tasks can be performed by agents/humans as it's needed. Tasks includes customer responses, tickets, code, content, followups, and other aspects too. Task 1: Week1: To begin with we will do building agent that scrapes all information through all help articles, handmade content to be written to make knowledge on an existing software everything about it, using which client inquiries on email and tickets can be dr...

I’m building a deep-learning system that can look at two very different kinds of information—gene-level data and free-form clinical text—and fuse them to predict whether a patient is likely to develop a target disease. The heart of the job is a multimodal architecture that treats gene features and textual features as complementary signals, learns their joint representation, and outputs a binary (disease / no-disease) or probabilistic risk score. Here is what I need from you. First, a clean data-pipeline that ingests my gene expression matrices alongside the associated clinical notes, handles any necessary tokenisation or normalisation, and keeps sample alignment intact. Second, a well-documented model—PyTorch or TensorFlow is fine—that includes separate encod...

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...