Машинне навчання (ML) Jobs

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning / Deep Learning / AI **Project Description:** I am looking for an experienced Machine Learning / Deep Learning developer to build a model also novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of th...

We are looking for an experienced Generative AI / LLM Engineer to enhance our existing multi-agent RAG pipeline built with agentic orchestration and GPT-5 models. The main goal is to improve multi-document embedding, retrieval accuracy, and agent workflow coordination. Responsibilities: Enhance and optimize the multi-agent RAG architecture Implement multi-document embedding and indexing Improve semantic search and context retrieval Optimize prompts and workflows for GPT-5 Integrate and tune vector databases Requirements: Strong experience with RAG systems Experience with LLMs and agent-based workflows Proficiency in Python Experience with vector databases (Pinecone, FAISS, Chroma, etc.) Nice to Have: Experience with LangChain / LlamaIndex Experience building multi-document AI systems P...

I need a production-ready wake-word model that reliably responds to “Hey Bobo” on both ESP32 and Raspberry Pi boards. Accuracy is critical: in a moderately noisy room it should trigger every time someone clearly says the phrase, yet ignore most unrelated speech. I still want slight phonetic wiggle-room—utterances such as “hello bo,” “hey bebo,” or “hello bebo” should wake the system as well—so fine-tuned threshold settings and a well-balanced dataset will be essential. What I expect from you • A trained wake-word model or firmware that runs in real time on ESP-IDF for ESP32 and on Raspbian/Ubuntu for Raspberry Pi without requiring cloud calls. • Demo code that shows how to load the model, stream audio from an onboar...

I’m building a complete AI-driven platform that trades listed options for me end-to-end. The engine has to recognise and act on the full range of strategies I use—straight buying or selling of calls and puts, multi-leg spreads, straddles, strangles, and any automatic strategy the model itself flags as favourable. Core capabilities I need • Real-time market analysis that fuses live quotes with historical time-series data, news feeds, social-media sentiment and technical indicators such as Wave Trend, VWAP and similar momentum tools. • Automated trade execution through a broker API, with order staging, smart routing and position monitoring. • Built-in risk management covering position sizing, max-loss cut-offs, volatility shocks and margin checks before any or...

Job Description Naghahanap kami ng experienced developer o DevOps engineer na makakatulong sa pag-setup ng AI automation system gamit ang OpenClaw na naka-connect sa OpenRouter. Mayroon na kaming dedicated server sa OVHcloud kung saan naka-host ang aming mga websites. Ang goal ng project ay i-install at i-configure ang OpenClaw sa paraang secure at isolated, upang hindi maapektuhan ang ibang websites na nasa parehong server. ⸻ Mga Gagawin sa Project Ang developer ay tutulong sa mga sumusunod: • I-install at i-configure ang OpenClaw sa aming dedicated server • I-connect ang OpenClaw sa OpenRouter API • I-set up ang Docker containers para sa isolation ng system • Gumawa ng multiple AI agents na may iba’t ibang tasks • I-connect ang system sa Telegram ...

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of AI systems and directly influence customer experience, product velocity, and operational efficiency. The Opportunity You will lead development across three core pillars: - AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more. - AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths. - Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operation...

Explainable AI Models for Any topic with novelty Project Description: Build a complete end-to-end Machine Learning project using dataset (CSV) to identify the source of infection using Explainable AI models. The project should include data loading, EDA (missing values, distributions, correlations, visualizations), data preprocessing (handling missing data, encoding categorical features, scaling numeric data, removing outliers), and feature selection. Train and compare multiple ML models with cross-validation and hyperparameter tuning, and include explainability using SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations). Deploy the system with a Streamlit web UI where users can upload datasets, select the target column, run preprocessing, train...

I have an LLM-agent project where the video component refuses to behave the way it is prompted, and I also need to wire in the Gemini API. Both issues matter to me equally. Video prompt issue Right now the clip renders, but the behavior on screen doesn’t reflect the prompt text. It feels as if the agent hands off the wrong parameters somewhere in the chain. I need the logic traced, the root cause isolated, and the fix committed so the video consistently follows the prompt every run. Gemini API integration The second task is to drop Gemini seamlessly into the same codebase. I already have API credentials ready; what’s missing is the clean wrapper, error handling, and a quick demo call that proves the model responds through my agent framework. Deliverables • Clean, ...

I'm seeking a Python expert to develop a credit risk management model, focusing specifically on market data. Key Requirements: - Credit Risk Expertise: In-depth understanding of credit risk, particularly related to market data. - Python Proficiency: Advanced skills in Python for data analysis and modeling. - Data Handling: Experience in working with large datasets, especially market data. - Financial Acumen: Strong background in finance and risk management principles. Ideal Skills and Experience: - Proven experience in developing credit risk models. - Familiarity with relevant Python libraries (e.g., Pandas, NumPy, Scikit-learn). - Ability to provide clear documentation and insights on the model developed. Please share your relevant experience and approach to this project. I look ...

I’m working through an year long online course on Artificial Intelligence and Machine Learning and I’m running short on time for several graded assignments and mini-projects. Rather than general tutoring or technical platform troubleshooting, I specifically need someone who can step in, finish the required tasks, and submit clean, well-commented solutions on my behalf. This will be an ongoing project and will span an year. Typical exercises range from data preprocessing and feature engineering to training and evaluating models with libraries such as Python, NumPy, pandas, scikit-learn, TensorFlow or PyTorch. Code must run flawlessly in the course’s Jupyter-based environment and meet the rubric laid out in each brief (accuracy thresholds, narrative explanations, and any...

Tôi cần một chuyên gia hỗ trợ xây dựng model phân tách neutron/gamma bằng Deep Learning sử dụng Python. Phạm vi công việc • Phân tích yêu cầu và đề xuất kiến trúc mạng phù hợp (CNN, RNN, hoặc hybrid nếu cần). • Xử lý và chuẩn hóa dữ liệu đầu vào; nếu thiếu dữ liệu, hỗ trợ tạo hoặc mở rộng bộ dữ liệu mô phỏng. • Huấn luyện, đánh giá và tinh chỉnh mô hình để đạt độ chính xác tối ưu. • Bàn giao mã nguồn Python kèm hướng dẫn chạy, file trọng số đã huấn luyện và báo cáo tóm tắt kết quả. Kỳ vọng • Ưu tiên giải pháp gọn nhẹ, dễ t&aac...

I want an AI-powered conversational agent that has to work on a web application front end. The bot must tap into our large retail product database so managers can conversationally, ask for actionable insights, kpi, and create reports. Key goals • Deliver actionable insights about consumer behaviour • Easy conversational chat for business user Acceptance criteria documentation covering model architecture, training data structure, and how to connect to the retail database API. 3. Handover of all code (Python/Node or comparable), configuration files, and instructions so my in-house devs can maintain it. 4. Analytics dashboard reporting 5. Final deployment on our production site with my sign-off after load testing. If you have experience with AI projects using LangGrap...

I’m expanding Eigen Computing’s stealth-mode R&D team and need senior-level talent who can tackle optimisation at scale. We are building a hardware-accelerated probabilistic engine that runs QUBO/Ising workloads for Logistics, Finance, and Cyber-Intelligence, and I’m open to engaging specialists across several tracks: • ML Engineer – craft graph neural networks and matrix-compression pipelines that translate complex optimisation problems into sparse, hardware-friendly representations. • FPGA Engineer – write VHDL/Verilog kernels for AWS F1, pushing the solver to micro-second latency. • Backend Architect – design a high-performance API layer in Go, Rust or Python that orchestrates FPGA instances, manages job queues and exposes RE...

I need a complete, reproducible deep-learning pipeline that takes raw leaf images, learns to recognise plant diseases, and then serves the prediction through a Streamlit interface. Because I do not yet have the images, the first task is to identify and download a suitable, well-labelled dataset from Kaggle. Feel free to compare a few candidates, but the final choice should give good class balance and enough samples per disease category. Once the data is in place, walk through exploratory data analysis, preprocessing, and augmentation inside a Jupyter notebook. From there, build and tune a convolutional neural network (TensorFlow / Keras or PyTorch are both fine) and report the usual metrics plus a confusion matrix so I can judge class-wise performance. When the model is satisfactory, save...

Project Title: AI-Powered Lead Matching System (RAG + OpenAI + Fullstack) Project Description: I am looking for an experienced Fullstack + AI Engineer to build a production-ready AI-powered lead matching system. Project Overview: The system should intelligently match business leads using semantic search and LLM-based reasoning instead of traditional keyword matching. Core Requirements: Build a RAG (Retrieval-Augmented Generation) pipeline Generate embeddings using OpenAI API Store vectors using pgvector or Pinecone Implement semantic similarity search Develop REST APIs using FastAPI or Node.js Create a modern frontend dashboard (React / ) Deploy on AWS (ECS, Lambda, or EC2) Features: Business profile ingestion Data embedding pipeline Vector search functionality AI-generate...

Egy AI-alapú, felhőben futó fuvarozási döntéstámogató szoftvert szeretnék megvalósítani. A rendszer elsődleges célja, hogy a logisztikai menedzserek és az ügyfelek egyaránt gyorsan, áttekinthetően lássák a szállítási lehetőségeket, és megalapozott döntéseket hozhassanak. Fő igények • Többplatformos felület – az alkalmazásnak asztali böngészőben, mobiltelefonon és tableten is natívan, reszponzívan kell működnie. • Kétféle felhasználói szerep – a logisztikai menedzser részletes költség- és telj...

this project is to develop an infrared small target detection system using classical image processing techniques. The system will analyse infrared images and detect very small targets that are often hidden in complex background environments such as sky, sea, and land scenes. The project focuses on combining local contrast-based methods and nonlocal spatial information techniques to improve detection accuracy while maintaining computational efficiency. The project will use a public benchmark dataset: Dataset: NUAA-SIRST Dataset Source: GitHub open-access repository Dataset Link: Step 1 – Data Preparation Step 2 – Image Preprocessing Step 3 – Local Target Enhancement Implement the Dual Window Local Contrast Method (DW-LCM). Step 4 – Nonlocal Background Suppressi...

I have continuous video footage from live inspection of steel flat bars strips our production line and need a complete deep-learning pipeline that flags surface, structural, and functional defects in real time. The raw videos are already labeled by timestamp; frame-level annotation may still be required for optimal accuracy. Scope • Design and train a deep neural network—CNN, transformer, or hybrid model—that detects all three defect categories directly from video streams. • Implement preprocessing (frame extraction, augmentation, ROI isolation) and post-processing (tracking, alert generation) in Python using libraries such as PyTorch/TensorFlow and OpenCV. • Optimise for inference on an on-premise GPU; latency under 200 ms per frame is the target. &bull...

Build an end-to-end AI application that can reliably solve JEE-style math problems, explain solutions step-by-step, and improve over time. The goal of this assignment is not just model usage, but to evaluate whether you can: design a RAG pipeline build a multi-agent system handle image, text, and audio inputs introduce human-in-the-loop (HITL) implement memory & self-learning package everything into a working application and deploy it You do not need to be a DevOps or full-stack expert, but you must be able to build, run, and deploy a simple app.

project is to develop an image processing–based infrared small target detection system that identifies small targets in infrared images using a combination of local contrast analysis and nonlocal spatial information. The project will use a publicly available dataset The project will involve implementing and integrating two classical image processing methods: A. Dual-Window Local Contrast Method (DW-LCM) B. Multiscale Window Infrared Patch-Image Model (MW-IPI)

I want an offline-running AI that studies each WhatsApp conversation, decides if a follow-up is actually necessary, chooses the best moment to send it, then drafts and fires off a friendly, contextual message—all without keyword tricks. The single most important benefit for me is saving the hours my team now spends chasing silent leads, so the system must be accurate enough that we can trust it to work on its own. How I picture the flow 1. A new or ongoing chat lands in our WhatsApp Business account. 2. Your model (hosted locally, not in the cloud) pulls the full thread, understands intent, sentiment, and stage of the sale from overall context. 3. If follow-up is warranted, it schedules the outreach intelligently—e.g., after an unanswered quote give it six business days,...

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...

Our in-house search engine needs a sharp, data-driven eye to make every query deliver the right mix of products, articles, and images. I want you to analyse how users currently interact with results drawn from both textual content and rich imagery, spot the mismatches, then tune the ranking logic until relevance lifts our conversion rate. What you’ll do • Audit the existing pipeline, from query parsing to ranking, on our custom platform. • Work with mixed data (product descriptions, metadata, and image features) to understand which signals matter most for purchase decisions. • Design or refine relevance metrics and an evaluation set we can reuse for ongoing benchmarking. • Implement ranking improvements—whether that means boosting rules in Elasticse...

I need a ChatGPT-style assistant that can read every file my organisation generates—PDFs, Word docs, Excel sheets, HTML pages and anything else we store—then answer questions using that private knowledge base. The assistant must recognise the language of the query and reply in the same tongue; Hindi, Marathi, English and Telugu are the priority. The job covers the full pipeline: ingesting and parsing documents, building a semantic index or vector store, connecting it to a generative model and exposing everything through a simple chat interface. Whichever mix of OpenAI, open-source LLMs, embeddings or retrieval-augmented generation you choose is up to you, as long as the final experience feels as fluid as ChatGPT while keeping my data secure on our own servers. Please send a d...

I’ve built a hallucination-resistant LLM platform that already marries FAISS-based retrieval, answer cross-checking and modular knowledge-base support. The last piece that still feels brittle is the lightweight fine-tuning component. Today it performs well on the narrow domain data I trained on, yet I need it to generalize confidently across both technical subjects and varied industry-specific information without bloating compute costs. Here’s what I’m after: • Refresh the current LoRA/PEFT workflow or suggest an alternative that can stretch the model’s knowledge boundaries while keeping the footprint “lightweight.” • Curate or synthesize balanced tuning and evaluation sets that cover the two priority areas (deep technical content and sect...

More details: Which deep learning framework do you prefer for this project? TensorFlow Do you have a preferred dataset for brain MRI image segmentation? Please use a publicly available dataset Which style of output visualization do you prefer? 2D slices with segmentation overlay

We are looking for a highly skilled AI Technology Consultant based in India or Pakistan. Requirements: • Strong English communication skills • Strong AI technical knowledge (LLMs, AI systems, modern AI tools) • Strong coding ability (Python, Node.js, or similar) • Experience building AI-powered applications or systems • Ability to communicate clearly and work independently Responsibilities: • Design and build AI-powered solutions • Provide technical consultation on AI architecture • Collaborate with the team and explain technical concepts clearly If interested, please share: • Your resume • AI project experience • GitHub or portfolio

I have already deployed a full Streamlit application that predicts loan approvals in real time (live demo: , source: ). The pipeline currently includes Logistic Regression, K-Nearest Neighbors, and Naive Bayes models with standard scaling and the usual EDA-driven feature engineering. What I want now is a measurable lift in overall model performance, with the F1-score as the guiding metric. Feel free to explore more advanced algorithms (e.g., Gradient Boosting, XGBoost, LightGBM, calibrated ensembles, or even a tuned version of my existing classifiers) as long as they integrate cleanly with the existing Python | Pandas | NumPy | Scikit-learn stack and can be surfaced through the current Streamlit front-end. Key points you should address • Re-examine preprocessing and feature sele...

I need help steering an LLM through a realistic engineering workflow on an open-source Python library. Your first step will be to choose a mature, well-documented GitHub repo that ships as a library or package and can be cloned and built with nothing more exotic than standard pip dependencies. Once the repo is agreed upon, you will frame a single, well-bounded engineering assignment for the model—perhaps a small feature, a non-trivial refactor, or a robust test suite—something neither superficial nor sprawling. From there you will run an iterative review loop: prompt the model, inspect its MR, request changes, and continue until the contribution is truly production-ready. That means the patch must follow project style, cover edge cases, include unit/functional tests, update do...

I have developed a high-end foundation for NexusMed AI, a multi-agent clinical research platform, and I am looking for a senior AI Engineer to lead the next phase of development. The project currently has a stunning "Blue-Green-White" professional UI and a robust Deno-based backend utilising LangGraph for complex agent orchestration. Key Objective: The primary goal is to finalize and enhance the specialized Literature Review Agent. This agent must move beyond general web search to perform deep, evidence-based research for medical professionals. Specific Tasks: Deep Database Integration: Implement robust integrations with PubMed (via Entrez API) and Google Scholar to retrieve peer-reviewed medical journals and clinical trials. Advanced RAG Implementation: Enhance the Retrieval-...

I’m building a virtual DeepseekV3 environment that emulates Jet Nano hardware for research and development on machine-learning models. The goal is to give my team a sandbox where we can move seamlessly from data preprocessing and feature extraction through model training, evaluation, deployment, and monitoring—without touching the physical board until we are ready. Here’s what I need: • A reproducible simulation that mirrors Jet Nano’s CUDA-enabled GPU, memory constraints, and I/O. • Containerised tool-chain (PyTorch, TensorRT, cuDNN, etc.) with scripts that cover the full life-cycle: preprocessing, training, hyper-parameter sweeps, evaluation metrics, and a mock-deployment stage that tracks resource usage and latency. • Clear documentation so a...

Real-Time Face Swap System Requirements Specification 1. Project Overview Purpose: Development of real-time face replacement functionality aimed at protecting privacy and expanding expressive capabilities during streaming. Users: Exclusively for individual streamers. Streaming Environment: - Current: Mac mini (M4 chip, 16GB RAM) - Future: Upgradeable to 32GB/64GB as needed - OS: Mac preferred (portability priority), Windows compatibility considered if necessary - Streaming Software: OBS to be used 2. Non-Negotiable Requirements (Must Have) 2-1. Technical Requirements Face Replacement Specifications: - Replace only eyes and eyebrows - Use original parts for nose down (mouth/lips) - Reason: To prevent double lips when drinking liquids Safety: - Face processing must never drop out w...

I am building a multi-agent AI system to automate 80–90% of a paid creative production pipeline for Meta (Facebook/Instagram). The system includes: Research Agent (creative trend scraping + clustering) Internal Performance Learning Agent (Meta Ads API + tracking integration) Script Generation Agent (data-informed structured JSON output) Static Creative Generation Agent Video Generation & Editing Agent Meta Marketing API auto-upload module Performance Feedback Loop (closed-loop learning) Slack-based control interface Orchestration + memory layer with vector DB This is not a prototype — it needs production-grade architecture, modular design, scalable cloud deployment, and performance monitoring. I need help with: System architecture design Multi-agent orchestrat...

Dazzx is moving beyond simple template filtering toward a genuine Creative Layout Intelligence Engine. The platform’s canvas already renders static JSON designs; what is missing is the brain that, from three user inputs—uploaded assets, a short marketing prompt, and the chosen design size—can suggest the three strongest advertisement layouts out of a library of 10,000-plus templates. The assignment is to build that brain. The workflow I have in mind is: • Parse and understand the marketing prompt, extracting intent, tone, and any product cues. • Match those insights against our tagged template corpus, scoring each layout on visual hierarchy, probable asset fit, and relevance to the prompt. • Return the top three candidates as Fabric-compatible JSON, ...

I’m building a diffusion–based pipeline focused on image generation, and I want the results to be crisp, large-format visuals rather than the low-res outputs many models settle for. Your task is two-fold: first, curate or assemble a fit-for-purpose dataset (I don’t yet have one), and second, train a state-of-the-art z-image diffusion model that consistently produces high-resolution renders. You’ll have freedom in tool choice—PyTorch, TensorFlow, DreamBooth, LoRA or any other modern techniques are fine—as long as the final model can be reproduced from the training scripts you deliver. I expect the usual artefacts: cleaned dataset (with clear licensing notes), training code, model checkpoints, and a concise README outlining hyper-parameters, compute used,...

Chrome Extension to auto-fill the official government visa website Pull data from our portal a Populate fields only (no auto submission) Requirements: Experience with Python (Django / FastAPI preferred) Strong JavaScript skills Experience building Chrome Extensions (Manifest V3) Experience with OCR / document processing / AI validation Ability to handle complex conditional forms Secure data handling Deliverables: Fully functional portal + admin panel + AI validation/compliance + Chrome Extension.

I need an experienced AI/ML freelancer to take the lead on building a custom copilot that streamlines day-to-day clinical and administrative workflows for a healthcare platform. The immediate goal is to move from scattered manual steps to an intelligent assistant that can understand natural-language requests, pull data from our EHR, draft documentation, route approvals, and trigger follow-on actions inside existing tools. You will have full freedom to choose the right blend of large language models, retrieval-augmented generation, and automation frameworks, provided the result is HIPAA-compliant, auditable, and easy for my in-house dev team to maintain. LangChain, FastAPI, vector stores such as Pinecone or FAISS, and orchestration services like Airflow or Prefect are all on the table if t...

My goal is to build an AI-driven pipeline that can read PDFs of medical subjects packed with both text and images, understand the material, and turn every chapter into student-friendly assessments. For each file the system should automatically deliver short-answer questions that capture key facts, long-answer prompts encouraging deeper explanations, and well-structured multiple-choice questions—complete with one correct option and plausible distractors. Because many of the PDFs include labelled diagrams, charts, or photographs, the engine must combine standard text extraction with reliable OCR so information buried in images feeds directly into at least one generated question. The tone and vocabulary need to suit secondary-school students, keeping accuracy on scientific terminology ...

Chcę uruchomić w pełni prywatne, lokalne środowisko AI oparte na modelach 7B i 13B. Interesuje mnie wydajne, łatwe w obsłudze rozwiązanie, które nie wysyła żadnych danych do chmury. Zakres, którego potrzebuję: • Audyt moich potrzeb i rekomendacja sprzętu (Mac, PC lub serwer z GPU – wybór wspólnie ustalimy). • Dobór odpowiednich modeli LLM 7B / 13B oraz, jeśli okaże się to zasadne, większych wariantów. • Instalacja i pełna konfiguracja narzędzia (np. Ollama, LM Studio lub innego, które zaproponujesz). • Optymalizacja ustawień ‑ RAM, quantization, parametry startowe ‑ tak, by uzyskać maksymalną wydajność bez utraty prywatności. • Konfiguracja lokalnego API lub trybu agenta, jeśli będzie to wspierało ...

1. Real-time Mesh Proximity Architecture Description: Establish a proximity-based mesh positioning network between the Master device (Coordinator) and Member devices (Nodes). Technical Approach: Utilize Bluetooth Low Energy (BLE) and Wi-Fi Direct to estimate relative distance. Requirements: The Master device must continuously receive signals from Nodes. If the RSSI (Received Signal Strength Indicator) of a Node drops below a predefined threshold (corresponding to a configured physical distance), the Master must trigger an alert notification. 2. Zero-touch Check-in Authentication Description: The system automatically scans and confirms the presence of Nodes within connection range. Technical Approach: The Master broadcasts a multicast packet via local network or Bluetooth. Nodes r...

We are looking for a developer who can build Remotion-based video templates similar in style and complexity to the attached example animation. The key requirement is that each template must be fully configurable via JSON inputs, so we can programmatically render different versions of the same motion graphic. You will be responsible for: Creating reusable Remotion compositions using React and TypeScript Exposing clear, well-documented JSON props (text, colors, media, timing, layout options, etc.) Ensuring smooth, modern motion graphics suitable for marketing and social media content Optimizing for reliable rendering in an automated pipeline (no manual timeline tweaking) We will handle: Providing example animations and reference designs Supplying JSON input formats and data structure...

To take over an on going project not yet launched, MUST be highly skilled in AI development and optimisation. Someone who wants to work long term if they are suited to the role as head developer. Tasks Improve AI modelling Implementing AI in other areas UI Design experience is a MUST Be able to brainstorm and bring ideas to life.

I need a compact, fast object-detection model that runs directly on an edge board (Jetson Nano, Raspberry Pi, Coral or similar) and processes aerial images from drones. The immediate application is surveillance, yet the solution should stay flexible enough to be reused later in agriculture or disaster-response scenarios. Source imagery will contain a mix of people, cars, buses, bicycles and assorted infrastructure. The model must be especially reliable at spotting people and critical infrastructure elements, while still recognising the wider vehicle classes.I am open to any justified architecture (YOLOv8, MobileNet-SSD, EfficientDet-Lite, or superior alternatives)—provided it outperforms YOLOv9c and similar models while delivering real-time inference on edge devices once quantized o...

We are seeking an AI lead developer to build AI orchestration workflows and integration of various agents like: - DevOps Agent - Analytics Agent - Dashboard Agent - Testing Agent Requirements: - Provide an architecture for generating real-time dashboards from unstructured logs from microservices in Kubernetes - Experience with data engineering and AI skills - Unstructured data stored as logs in JSON format in S3 bucket in AWS - Real-time data in terabytes - Long-term availability for this project - Build cursor-like frontend for analytics - Experience in UI development is a plus Skills needed: AI App Development, Machine Learning, AI Code Generator, AI Agent Development, Deep Learning, RAG, Python, Node.js, TypeScript

What You'll Do Design, train, and deploy machine learning models for real-world applications (NLP, computer vision, forecasting, or recommendation systems). Build and optimize scalable ML pipelines using tools like Airflow, Kubeflow, MLflow, or SageMaker. Collaborate with data engineers to ensure clean, reliable data flows from source to model. Implement monitoring, drift detection, and retraining strategies for production models. Prototype new AI capabilities and translate research into production-ready features. Mentor junior engineers and contribute to technical strategy and architecture decisions. Champion best practices in MLOps, model governance, and ethical AI. What You Bring Required: Candidates must be reside in Philippines and other South East Asia. 3+ years of hands-on expe...

I need an application that leverages AI to analyze market research survey data. The primary aim is to gauge public sentiment on social issues and government policy. Key Requirements: - Analyze survey responses - Identify key findings - Generate a report on ppt format with data visualization Ideal Skills and Experience: - Proficiency in AI and machine learning - Experience in data analysis, especially with survey data - Knowledge of sentiment analysis techniques - Ability to build user-friendly applications Looking for freelancers who can deliver accurate and actionable insights efficiently. Preferrably based in Singapore to facilitate face-to-face interactions.

We're starting a new freelance project on an AI-Based Call Transfer System for Telephone Exchange aimed at modernizing and automating call routing operations. This project will use artificial intelligence, speech recognition, and natural language processing to understand caller queries and automatically transfer calls to the correct department or officer without manual intervention. The system will reduce wait times, minimize human error, and improve overall communication efficiency. It will also include smart call prioritization, real-time monitoring, and performance analytics to enhance service quality and operational effectiveness.

Tenemos nuestro MVP 0 corriendo en Railway con un front en React + TypeScript y un backend Node.js que consume Gemini API, pero con bugs críticos y los agentes de IA aún no alcanzan la precisión que necesitamos para presentarnos con seguridad ante inversores pre-seed. Mi prioridad ahora es aumentar su exactitud sin comprometer la velocidad ni la estabilidad del resto del sistema.   Necesito a alguien que entre al código, mejore el razonamiento de los agentes, afine los prompts y ajuste cualquier parte del pipeline de inferencia que hoy genere resultados inconsistentes.   No es requisito, pero se agradece si puedo ver en tu propuesta ejemplos concretos de trabajos previos donde hayas incrementado la precisión de modelos o agentes IA en producci&o...