Aprendizado de Máquina (ML) Jobs

I'm looking to make a local AI agent that runs on a jetson nx 16 gb. The agent needs to control the robot and have a personality. So it needs to move the servos to follow sounds or images, it needs to reason, speak and to understand by itself when to talk. It is very important we can build a personality of the. robot. I'm attaching a video to give you an idea. What is very important is that the robot can function in milliseconds, the jetson is a very powerful machine and should be more than enough to have almost real time responses.

RGB-Based Computer Vision and Spectral Characterization of Semiconductor Samples ## Project Overview I am developing a Python pipeline to investigate whether standard RGB photographs can predict useful spectral properties of semiconductor samples. My dataset contains approximately 62 RGB images of sample plates, with repeated photographs of some physical plates, and associated diffuse reflectance spectra. Each plate contains 48 samples. Correctly mapping images, sample IDs, and reference spectra is essential. ## Scope of Work **1. Image Processing and ROI Extraction** - Detect and crop plates, preserving existing working code wherever possible. - Reliably extract 48 sample regions and handle both 6 × 8 and 8 × 6 layouts. - Improve orientation detection and consistent sampl...

I need a compact, AI-driven faceswap editor that works exclusively with pre-recorded videos and lets me finish everything in post before sending the clip to TikTok. The workflow I have in mind is simple: import a video, identify the source and target faces, preview the swap frame-by-frame, then render and export in a TikTok-friendly format (vertical, audio preserved, high-quality H.264). You are free to build on libraries such as MediaPipe, DeepFaceLab, or any other GAN-based solution, as long as the final tool runs reliably on consumer hardware and keeps processing times reasonable. An intuitive timeline and basic trim/crop controls would be great, but the faceswap accuracy and overall stability are the real priorities. Deliverables • A working application (desktop or browser-bas...

Project Description: We are KESAV Diamond, an online brand selling lightweight natural diamond jewellery. We want to build an AI-powered marketing system where a set of connected AI agents handles research, strategy, content, ads, email, leads and reporting for our business. Our team will review and approve the outputs. The idea: we enter our business details once (products, prices, target customers, competitors, brand voice), and the system produces a complete, ongoing marketing workflow. Agents required: Research Agent: Studies our brand, products, competitors (e.g. other lightweight/daily-wear diamond jewellery brands), customer reviews, Instagram/Google trends and the Indian jewellery market. Outputs a research summary. Strategy Agent: Uses the research to define target audiences (...

I need a publication-ready research paper in Artificial Intelligence that meets the standards of a peer-reviewed Science & Technology journal. The work must present original findings, supported by a solid literature review, clear methodology, reproducible experiments (or simulations), and a well-argued discussion of results. Scope • Draft a full manuscript: abstract, introduction, related work, methodology, experiments, results, discussion, conclusion, and references. • Use recent (≤5 years) scholarly sources to position the study within current AI advances. • Provide clean datasets or documented synthetic data, the code used for experiments (Python preferred), and any supplementary material needed for replication. • Format the paper to the target journa...

I'm seeking a skilled AI developer to create a personal assistant. The AI should support chat and email communications. It will primarily handle tasks such as: - Scheduling and reminders - Task management - Information retrieval Live Quotes Generating leads from enquiries Chatbot on website Ideal skills and experience: - Expertise in AI and machine learning - Experience with chatbot and email integration - Strong background in task automation and management systems Please provide relevant work samples and a brief project plan.

I# AI-Powered Lab Assistant and Companionship Platform Development ## Project Overview I am looking to develop a unique, end-to-end AI-powered platform with a primary focus on companionship and innovative user interactions. The goal is to create something distinctive that has not been widely explored in the current market, with the potential to expand its capabilities through additional features in the future. The primary objective is to develop a reliable and innovative AI model that supports meaningful companionship experiences. As part of the platform's longer-term vision, there may also be an option to introduce an adult-oriented component as an optional add-on for users who are of legal age and wish to explore their personal interests in a safe, responsible, and legally ...

I’m looking for an experienced ML engineer to optimize an ARC-AGI-3 Kaggle solution and achieve a top-5 position on the public leaderboard within 7 days of the agreed start date. Budget: $800 USD, success-based. Payment will be made only if the agreed top-5 target is achieved by the deadline and all required deliverables are provided. No payment is due if the target is not achieved, unless otherwise agreed in writing before work begins. Starting points: Deliverables: - A working, reproducible Kaggle notebook. - All modified source code and configuration files. - A valid competition submission confirming the result. - A brief explanation of improvements and reproduction steps. Preferred skills: Python, LLM agents, Kaggle, SGLang/vLLM, quantization, and inference optimization. P...

I am building an Android-only mobile application that puts intelligent video editing directly in the user’s pocket. The core engine must use on-device AI to: • Automatically trim raw footage into meaningful segments • Detect scene changes and tag each scene for quick navigation • Offer a palette of real-time filters and effects that can be layered before export A moderately detailed interface is ideal: clean timeline, quick-access buttons for the three smart actions above, and a preview window that updates instantly as the user scrolls through scenes or toggles effects. No crowded menus, yet enough visual cues to feel professional. Please structure the code in Android Studio (Kotlin or Java) and keep inference on the device with frameworks such as TensorFlow L...

I need an AI tool to analyze intraday Indices trends. The AI should provide insights and predictions to help inform trading decisions. Key Requirements: - AI should focus solely on intraday Indices trends. - I will provide the indicators and conditions that needs to be considered. - Deliver accurate, timely, and actionable insights. Ideal Skills and Experience: - Expertise in AI and machine learning. - Proven track record in stock market analysis. - Strong analytical skills and experience in data interpretation. - Past work in similar projects is essential for application. Please include relevant past work in your application.

I need a skilled developer to create a stock market prediction bot. The bot should focus solely on stock market predictions. Key Features: - Real-time updates: The bot must provide real-time stock market updates. - Historical data analysis: It should analyze historical data to inform predictions. Ideal Skills and Experience: - Experience in developing prediction algorithms - Proficiency in working with real-time data - Strong background in financial markets and historical data analysis - Familiarity with portfolio management is a plus Please provide examples of similar work done.

I have an AI-driven application written in Python that is already live, but its performance is no longer where it needs to be. Rather than rewriting anything from scratch, I want a developer who can dive into the current codebase, spot the weak points, and apply machine-learning best practices to bring the system up to date. You’ll start by cloning the repo, running the existing training and inference routines, and profiling the data pipeline so we can identify bottlenecks together. From there, your focus will be on tightening the algorithms, modernising any outdated libraries, and introducing cleaner, more modular code that makes future feature work painless. Expect to work with familiar ML tooling—Pandas, NumPy, scikit-learn, TensorFlow or PyTorch—using whichever stack...

I need an Al-focused application that delivers 100% functionality in analysing and solving geometric patterns and sub patterns and sub to sub pattern at any level in jewellery. The primary objective is to ensure precision and reliable output. The features include: 1. Detecting patterns across different jewellery parts such as any parts of boundaries, textures, cuts, or design elements (including broad patterns, sub-patterns, and intricate sub-to-sub patterns). 2. Identifying low-quality or unclear components within these patterns and seamlessly replacing them with high-quality elements from other sources or jewels. 3. Ensuring replacements naturally blend into the overall piece, maintaining structural integrity and visual coherence. The focus is entirely on achieving accurate fun...

We’re looking for 2 roles to join us on a cutting-edge creative AI project. We are recruiting an AI Machine Learning Developer & IT/Computer Vision Technician. Highly-considered candidates would be able to do both roles. Ideal for students or early-career developers who want the chance to build & grow with a ground breaking project. 1. AI Machine Learning Developer - Anaconda experience Key Requirements: - Develop AI algorithms for object detection and image classification - Analyze and process large datasets of image data - Optimize models for accuracy and efficiency - Provide documentation and support for implementation - In some cases where data sets don’t exist we may need to create from scratch 2. IT/Computer Vision Technician - Camera to PC System Key ...

### 一、项目介绍 我们是一家专注于企业 AI 应用落地的技术服务公司，现面向中国招聘具有实际开发和交付经验的 **AI Agent 智能体、自动化工作流及软件集成开发工程师（FDE）**，建立长期项目外包合作关系。 我们主要为企业客户提供 AI 智能体开发、自动化业务流程、企业知识库、API 系统集成及定制化 AI 应用开发服务。 **本次招聘仅面向中国大陆工程师，要求能够全程使用中文（普通话）沟通，方便需求对接、项目协调及交付验收。** ### 二、主要开发内容 1. **AI Agent 智能体开发：** 基于 OpenAI、Claude、Gemini 等大模型，开发能够执行实际业务任务的智能体。 2. **自动化工作流开发：** 使用 n8n、Dify、Coze 等平台，搭建多步骤自动化业务流程。 3. **企业系统 API 集成：** 对接 CRM、ERP、独立站、第三方 SaaS 平台及企业内部业务系统。 4. **企业 AI 知识库：** 开发 RAG 检索增强、文档解析、知识问答及数据处理等应用。 5. **定制软件开发：** 根据企业实际业务需求，使用 Python、FastAPI 等技术开发后端服务、API 接口及管理功能。 6. **多模态 AI 应用：** 根据项目需要，实现图片识别、文档分析、数据提取及多模态模型调用。 7. **部署与维护：** 完成开发测试、服务器部署、故障排查、性能优化及技术文档交付。 ### 三、技术能力要求 - 熟悉 Python、REST API、Webhook、JSON、数据库等基础开发技术。 - 具备 AI Agent、大模型 API 或自动化工作流的实际开发经验。 - 熟悉 n8n、Dify、Coze、LangChain、LangGraph 等一种或多种开发工具。 - 了解 Function Cal...

This engagement centres on a clear goal: enhancing our customer experience by leveraging sentiment analysis across both structured and unstructured data. I need a succinct, expert-level assessment that tells me whether the idea, data, and technical pathway are sound before full development begins. Scope • Examine the data landscape. Our customer records live in databases and spreadsheets, while social posts, emails, and support transcripts come in free-text and image form. Detail what must be cleaned, labelled, or augmented so sentiment signals are reliable. • Recommend the modelling approach. Contrast rule-based, classical ML, and modern transformer techniques, then justify the best fit for accuracy, latency, and cost at our scale. • Outline an implementation roadmap...

I’m putting together a project that centres on Artificial intelligence itself rather than a single sub-field, and I need a specialist who can take the lead in designing AI models from the ground up. The job involves shaping the architecture, writing clean, well-documented code, and guiding the overall model-building workflow so the end result is production-ready. You will help me decide on the right algorithms, set up the training and validation loops, and implement any necessary preprocessing or feature-engineering that will give the model a real edge. While the exact domain—machine learning, natural language processing, or computer vision—may shift as the project evolves, the common thread is rigorous model design that meets clear performance targets. Please be comfor...

I want to build a small desktop or web tool that gives me real-time predictions for 1Win’s Lucky Jet game and its Mines variation. The core of the job is an algorithm that reads the live stream of crash multipliers, learns from historical rounds, and then outputs an on-screen indicator a few seconds before the next take-off. To make the numbers trustworthy, the system has to: • pull or accept past-round data automatically, run statistical analysis, and refresh its model continuously; • display the current confidence level and suggested cash-out point in an intuitive interface (a simple panel or overlay is enough); • include a parallel module for Mines that estimates safe tiles in real time using the same data ingestion pipeline. Real-time prediction is the ...

I’m redeveloping an under-utilised site into a vibrant mixed-use destination that blends residential, commercial and recreational facilities. The project hinges on an AI-first workflow: automated design processes will turn raw data into test-fit layouts and concept schemes so early decisions are informed, fast and defensible. Scope The datasets on hand span demographic shifts, live market-trend feeds and detailed environmental-impact studies. They will drive the generation of multiple design iterations—parametric massing, unit mixes, daylight and energy simulations—until we converge on a concept that balances density, livability and sustainability across homes, retail and leisure spaces. Key activities • Ingest and clean the three data streams, exposing actiona...

I have an existing GPU-accelerated network component that still compiles, but its inference logic is tangled and hard to maintain. I want the codebase cleaned up and modernised while keeping the same outputs and speed. Here is what I need from you: • Compile the current project on a recent CUDA-enabled Linux environment so we start from a reproducible build. • Re-architect the inference path, shifting it to clear, modular functions that follow TensorFlow best practices. The focus is code refactoring, not new features. • Preserve existing model weights and performance; any change that alters numerical results must be explained. • Deliver a git repo containing the refactored source, build scripts, and a short README that documents dependencies, compile flag...

I need open-source speech recognition stacks fine-tuning for high accuracy, reliable, fully on-prem deployment across seven Indian languages—Hindi, Tamil, Bengali, Marathi, Telugu, Kannada and Gujarati. My current shortlist of engines is Whisper, AI4Bharat’s Indic models and Vanni from IISc; you are free to combine or layer these as long as the final pipeline remains 100 % open source and runs locally on our GPU servers (Windows CUDA, PyTorch). What I want from you is a measurable lift in word-error-rate, inference speed and resource efficiency. Techniques such as transfer-learning, domain-specific vocab augmentation, quantisation, batching or ONNX/TensorRT optimisation are all on the table—choose what works best for each language pair. Deliverables • A repro...

Audit of ML and econometric models on financial time series (Python, freelance) A quantitative research platform trains 24 model families every night on daily market data, walk-forward, across about 1,000 assets. We are looking for an independent expert to check that these models are implemented correctly and evaluated honestly. The work * ML models: XGBoost, LightGBM, Random Forest, Extra Trees, regularized linear models, SVR, MLP, LSTM, TCN. * Econometric models: GARCH, EGARCH, GJR-GARCH, SARIMAX/ARIMA, VAR, VECM, Kalman. * What to check: does each model do what its configuration says? Are the hyperparameter search spaces (Optuna) suitable for financial targets, and is the search free of look-ahead? * Model collapse: find where a fit degenerates into a constant predictor (the mean, stump...

I’m sitting on large, messy numeric datasets and need them cleaned, engineered, and split so downstream models train smoothly. Your mission is to design a reproducible preprocessing pipeline: audit the raw CSVs, tackle missing or extreme values, scale or normalize where it counts, generate meaningful features, and output train/validation/test sets ready for model development. Python with pandas, NumPy, and scikit-learn is my default tech stack, but feel free to weave in any modern data-ops tricks—as long as the final workflow runs inside a Docker container that can drop into our CI pipeline. Deliverables • Clean, documented datasets (CSV or Parquet) • Version-controlled preprocessing scripts/notebooks • Dockerfile plus a concise README for one-command rep...

Quiero comenzar a formarme seriamente en inteligencia artificial. Mi objetivo es entender los principios que la sustentan y ponerlos en práctica con ejemplos sencillos pero reales, preferiblemente en español. Busco a alguien que pueda explicarme, paso a paso, cómo funcionan los modelos actuales y guiarme a escribir mi primer conjunto de scripts en Python usando librerías como TensorFlow o PyTorch. No he elegido todavía si me concentraré en Machine Learning, Procesamiento de Lenguaje Natural o Visión por Computadora, así que agradeceré tu ayuda para explorar las tres áreas, comparar sus aplicaciones y decidir con cuál arrancar. Entregarás: • Sesiones en línea de explicación y resoluci&oa...

## Project Overview I am looking for an experienced but reasonably priced AI automation freelancer to help me build a practical AI automation solution for small and local businesses. The goal is to help businesses automate repetitive tasks, save time, improve customer service, and generate more business through AI-powered workflows. I want to start with a simple, affordable, working solution that can be demonstrated to potential customers and later expanded into a commercial service offered to multiple businesses. ## Initial Features Required **1. AI Customer Inquiry Assistant** - Automatically respond to common customer questions. - Use business-provided information, FAQs, and service details. - Capture customer contact information and inquiries. - Transfer complicated questions to a...

I am looking for a 1-on-1 tutor to guide me through a rigorous, structured 8-week program (with the possibility of extending into a more advanced 10-week track). My goal is to build specific skills in data validation, annotation, and model auditing—not just general software familiarity—so I can target AI companies this December. Proposed Weekly Structure: Tutoring Session (1-2 hours): You teach the weekly topic and walk me through the workflow. Independent Practice (6 hours): I practice on my own with sample datasets. Saturday Review (30-60 mins): You quiz me, critique my work, and tell me exactly where I need improvement. (This is the most important part for me). Overview of the 8-Week Curriculum: Weeks 1-2: Data Ingestion, HU calibration, DICOM Hygiene, and ...

# Collaboration Opportunity: SafeLink AI **Project:** Explainable Phishing and Scam Message Detector **Duration:** 7–14 days **Collaboration type:** Unpaid academic / portfolio collaboration **Technology:** Python, Pandas, scikit-learn, Streamlit, Joblib, Git/GitHub ## 1. Project overview I am developing SafeLink AI as a college group experiential learning project. The objective is to build a simple web application that analyses text messages, predicts whether a message belongs to the classes supported by the selected dataset, highlights observable warning indicators, and provides general safety guidance. I already have a detailed project proposal explaining the objectives, scope, methodology, mathematical logic component, evaluation metrics, and expected deliverables. I am...

I need an NLP workflow that ingests social media posts, customer reviews, and email messages, then detects the dominant emotion—Happy, Sad, or Angry—in each piece of text. The solution should be reliable enough for daily, automated processing and simple to retrain as my data grows. I already have raw text stored in CSV files; you can assume each record contains a unique ID and a text field. Your job is to: • Clean and normalise the text (language is English only). • Build or fine-tune a model that classifies the emotion with high accuracy. • Expose the results through a concise report (precision, recall, F1) and a small demo script or notebook that shows end-to-end usage. Python, spaCy, Hugging Face, or similar libraries are welcome—as long as the fi...

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...